{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-31T06:39:15.399621Z",
     "start_time": "2024-07-31T06:39:13.848991Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import random\n",
    "import os\n",
    "import torch\n",
    "import matplotlib.pyplot as plt\n",
    "import torchvision as tv\n",
    "import torch.nn as nn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_compare(loss_history):\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, losses in loss_history[\"Train Loss\"].items():\n",
    "        plt.plot(losses, label=model_name)\n",
    "    plt.title(\"Train Loss\")\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, losses in loss_history[\"Test Loss\"].items():\n",
    "        plt.plot(losses, label=model_name)\n",
    "    plt.title(\"Test Loss\")\n",
    "    plt.xlabel(\"Epoch\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "    plt.figure(figsize=(10, 6))\n",
    "    for model_name, accs in loss_history[\"Test Acc\"].items():\n",
    "        plt.plot(accs, label=model_name)\n",
    "    plt.title(\"Test Acc\")\n",
    "    plt.xlabel(\"Epoch)\")\n",
    "    plt.ylabel(\"Accuracy\")\n",
    "    plt.legend()\n",
    "    plt.grid(True)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
    "l2_lambdas = [0, 1e-5, 1e-4, 1e-3, 1e-2, 0.1]\n",
    "\n",
    "# 搭建数据集\n",
    "train_data = tv.datasets.MNIST(\n",
    "    root=\"./mnist_dataset\",\n",
    "    train=True,\n",
    "    download=True,\n",
    "    transform=tv.transforms.ToTensor(),\n",
    ")\n",
    "test_data = tv.datasets.MNIST(\n",
    "    root=\"./mnist_dataset\",\n",
    "    train=False,\n",
    "    download=True,\n",
    "    transform=tv.transforms.ToTensor(),\n",
    ")\n",
    "batch_size = 64\n",
    "train_iter = torch.utils.data.DataLoader(\n",
    "    dataset=train_data, shuffle=True, batch_size=batch_size, num_workers=0\n",
    ")\n",
    "test_iter = torch.utils.data.DataLoader(\n",
    "    dataset=test_data, shuffle=False, batch_size=batch_size, num_workers=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "任务一：手动实现L2正则化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-31T06:39:17.019904Z",
     "start_time": "2024-07-31T06:39:16.985995Z"
    }
   },
   "outputs": [],
   "source": [
    "from torch import Tensor\n",
    "\n",
    "class MinistForwardNet(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(MinistForwardNet, self).__init__()\n",
    "\n",
    "        self.w1 = torch.nn.Parameter(torch.randn(28 * 28, 256))\n",
    "        self.b1 = torch.nn.Parameter(torch.randn(256))\n",
    "        self.w2 = torch.nn.Parameter(torch.randn(256, 10))\n",
    "        self.b2 = torch.nn.Parameter(torch.randn(10))\n",
    "        torch.nn.init.xavier_normal_(self.w1)\n",
    "        torch.nn.init.constant_(self.b1, 0.1)\n",
    "        torch.nn.init.xavier_normal_(self.w2)\n",
    "        torch.nn.init.constant_(self.b2, 0.1)\n",
    "        self.params = [self.w1, self.b1, self.w2, self.b2]\n",
    "\n",
    "    def forward(self, x):\n",
    "        x = torch.relu(torch.matmul(x, self.w1) + self.b1)\n",
    "        x = torch.matmul(x, self.w2) + self.b2\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/30], 模型: l2=0, 训练损失: 0.0128, 测试损失: 0.0069, 测试准确率: 0.8881\n",
      "Epoch [2/30], 模型: l2=0, 训练损失: 0.0063, 测试损失: 0.0054, 测试准确率: 0.9057\n",
      "Epoch [3/30], 模型: l2=0, 训练损失: 0.0053, 测试损失: 0.0048, 测试准确率: 0.9142\n",
      "Epoch [4/30], 模型: l2=0, 训练损失: 0.0048, 测试损失: 0.0044, 测试准确率: 0.9206\n",
      "Epoch [5/30], 模型: l2=0, 训练损失: 0.0045, 测试损失: 0.0042, 测试准确率: 0.9243\n",
      "Epoch [6/30], 模型: l2=0, 训练损失: 0.0042, 测试损失: 0.0039, 测试准确率: 0.9294\n",
      "Epoch [7/30], 模型: l2=0, 训练损失: 0.0040, 测试损失: 0.0037, 测试准确率: 0.9324\n",
      "Epoch [8/30], 模型: l2=0, 训练损失: 0.0038, 测试损失: 0.0036, 测试准确率: 0.9353\n",
      "Epoch [9/30], 模型: l2=0, 训练损失: 0.0036, 测试损失: 0.0034, 测试准确率: 0.9380\n",
      "Epoch [10/30], 模型: l2=0, 训练损失: 0.0034, 测试损失: 0.0033, 测试准确率: 0.9395\n",
      "Epoch [11/30], 模型: l2=0, 训练损失: 0.0033, 测试损失: 0.0032, 测试准确率: 0.9439\n",
      "Epoch [12/30], 模型: l2=0, 训练损失: 0.0032, 测试损失: 0.0030, 测试准确率: 0.9452\n",
      "Epoch [13/30], 模型: l2=0, 训练损失: 0.0030, 测试损失: 0.0030, 测试准确率: 0.9464\n",
      "Epoch [14/30], 模型: l2=0, 训练损失: 0.0029, 测试损失: 0.0029, 测试准确率: 0.9473\n",
      "Epoch [15/30], 模型: l2=0, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9497\n",
      "Epoch [16/30], 模型: l2=0, 训练损失: 0.0027, 测试损失: 0.0027, 测试准确率: 0.9506\n",
      "Epoch [17/30], 模型: l2=0, 训练损失: 0.0026, 测试损失: 0.0026, 测试准确率: 0.9514\n",
      "Epoch [18/30], 模型: l2=0, 训练损失: 0.0026, 测试损失: 0.0025, 测试准确率: 0.9523\n",
      "Epoch [19/30], 模型: l2=0, 训练损失: 0.0025, 测试损失: 0.0025, 测试准确率: 0.9543\n",
      "Epoch [20/30], 模型: l2=0, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9555\n",
      "Epoch [21/30], 模型: l2=0, 训练损失: 0.0023, 测试损失: 0.0024, 测试准确率: 0.9564\n",
      "Epoch [22/30], 模型: l2=0, 训练损失: 0.0023, 测试损失: 0.0023, 测试准确率: 0.9564\n",
      "Epoch [23/30], 模型: l2=0, 训练损失: 0.0022, 测试损失: 0.0023, 测试准确率: 0.9583\n",
      "Epoch [24/30], 模型: l2=0, 训练损失: 0.0021, 测试损失: 0.0022, 测试准确率: 0.9600\n",
      "Epoch [25/30], 模型: l2=0, 训练损失: 0.0021, 测试损失: 0.0022, 测试准确率: 0.9604\n",
      "Epoch [26/30], 模型: l2=0, 训练损失: 0.0020, 测试损失: 0.0021, 测试准确率: 0.9618\n",
      "Epoch [27/30], 模型: l2=0, 训练损失: 0.0020, 测试损失: 0.0021, 测试准确率: 0.9617\n",
      "Epoch [28/30], 模型: l2=0, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9624\n",
      "Epoch [29/30], 模型: l2=0, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9629\n",
      "Epoch [30/30], 模型: l2=0, 训练损失: 0.0018, 测试损失: 0.0020, 测试准确率: 0.9631\n",
      "Epoch [1/30], 模型: l2=1e-05, 训练损失: 0.0126, 测试损失: 0.0069, 测试准确率: 0.8884\n",
      "Epoch [2/30], 模型: l2=1e-05, 训练损失: 0.0064, 测试损失: 0.0054, 测试准确率: 0.9061\n",
      "Epoch [3/30], 模型: l2=1e-05, 训练损失: 0.0054, 测试损失: 0.0048, 测试准确率: 0.9160\n",
      "Epoch [4/30], 模型: l2=1e-05, 训练损失: 0.0049, 测试损失: 0.0044, 测试准确率: 0.9202\n",
      "Epoch [5/30], 模型: l2=1e-05, 训练损失: 0.0045, 测试损失: 0.0042, 测试准确率: 0.9257\n",
      "Epoch [6/30], 模型: l2=1e-05, 训练损失: 0.0043, 测试损失: 0.0039, 测试准确率: 0.9277\n",
      "Epoch [7/30], 模型: l2=1e-05, 训练损失: 0.0040, 测试损失: 0.0037, 测试准确率: 0.9335\n",
      "Epoch [8/30], 模型: l2=1e-05, 训练损失: 0.0038, 测试损失: 0.0036, 测试准确率: 0.9341\n",
      "Epoch [9/30], 模型: l2=1e-05, 训练损失: 0.0037, 测试损失: 0.0034, 测试准确率: 0.9376\n",
      "Epoch [10/30], 模型: l2=1e-05, 训练损失: 0.0035, 测试损失: 0.0033, 测试准确率: 0.9392\n",
      "Epoch [11/30], 模型: l2=1e-05, 训练损失: 0.0034, 测试损失: 0.0032, 测试准确率: 0.9425\n",
      "Epoch [12/30], 模型: l2=1e-05, 训练损失: 0.0032, 测试损失: 0.0031, 测试准确率: 0.9442\n",
      "Epoch [13/30], 模型: l2=1e-05, 训练损失: 0.0031, 测试损失: 0.0029, 测试准确率: 0.9464\n",
      "Epoch [14/30], 模型: l2=1e-05, 训练损失: 0.0030, 测试损失: 0.0028, 测试准确率: 0.9480\n",
      "Epoch [15/30], 模型: l2=1e-05, 训练损失: 0.0029, 测试损失: 0.0028, 测试准确率: 0.9496\n",
      "Epoch [16/30], 模型: l2=1e-05, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9509\n",
      "Epoch [17/30], 模型: l2=1e-05, 训练损失: 0.0027, 测试损失: 0.0026, 测试准确率: 0.9523\n",
      "Epoch [18/30], 模型: l2=1e-05, 训练损失: 0.0026, 测试损失: 0.0025, 测试准确率: 0.9531\n",
      "Epoch [19/30], 模型: l2=1e-05, 训练损失: 0.0025, 测试损失: 0.0025, 测试准确率: 0.9549\n",
      "Epoch [20/30], 模型: l2=1e-05, 训练损失: 0.0025, 测试损失: 0.0024, 测试准确率: 0.9557\n",
      "Epoch [21/30], 模型: l2=1e-05, 训练损失: 0.0024, 测试损失: 0.0023, 测试准确率: 0.9574\n",
      "Epoch [22/30], 模型: l2=1e-05, 训练损失: 0.0023, 测试损失: 0.0023, 测试准确率: 0.9580\n",
      "Epoch [23/30], 模型: l2=1e-05, 训练损失: 0.0023, 测试损失: 0.0022, 测试准确率: 0.9583\n",
      "Epoch [24/30], 模型: l2=1e-05, 训练损失: 0.0022, 测试损失: 0.0022, 测试准确率: 0.9597\n",
      "Epoch [25/30], 模型: l2=1e-05, 训练损失: 0.0022, 测试损失: 0.0022, 测试准确率: 0.9608\n",
      "Epoch [26/30], 模型: l2=1e-05, 训练损失: 0.0021, 测试损失: 0.0021, 测试准确率: 0.9609\n",
      "Epoch [27/30], 模型: l2=1e-05, 训练损失: 0.0021, 测试损失: 0.0021, 测试准确率: 0.9613\n",
      "Epoch [28/30], 模型: l2=1e-05, 训练损失: 0.0020, 测试损失: 0.0020, 测试准确率: 0.9623\n",
      "Epoch [29/30], 模型: l2=1e-05, 训练损失: 0.0020, 测试损失: 0.0020, 测试准确率: 0.9631\n",
      "Epoch [30/30], 模型: l2=1e-05, 训练损失: 0.0019, 测试损失: 0.0019, 测试准确率: 0.9634\n",
      "Epoch [1/30], 模型: l2=0.0001, 训练损失: 0.0130, 测试损失: 0.0068, 测试准确率: 0.8934\n",
      "Epoch [2/30], 模型: l2=0.0001, 训练损失: 0.0069, 测试损失: 0.0054, 测试准确率: 0.9071\n",
      "Epoch [3/30], 模型: l2=0.0001, 训练损失: 0.0060, 测试损失: 0.0048, 测试准确率: 0.9168\n",
      "Epoch [4/30], 模型: l2=0.0001, 训练损失: 0.0055, 测试损失: 0.0045, 测试准确率: 0.9215\n",
      "Epoch [5/30], 模型: l2=0.0001, 训练损失: 0.0051, 测试损失: 0.0042, 测试准确率: 0.9243\n",
      "Epoch [6/30], 模型: l2=0.0001, 训练损失: 0.0049, 测试损失: 0.0040, 测试准确率: 0.9291\n",
      "Epoch [7/30], 模型: l2=0.0001, 训练损失: 0.0046, 测试损失: 0.0038, 测试准确率: 0.9321\n",
      "Epoch [8/30], 模型: l2=0.0001, 训练损失: 0.0045, 测试损失: 0.0036, 测试准确率: 0.9355\n",
      "Epoch [9/30], 模型: l2=0.0001, 训练损失: 0.0043, 测试损失: 0.0035, 测试准确率: 0.9376\n",
      "Epoch [10/30], 模型: l2=0.0001, 训练损失: 0.0041, 测试损失: 0.0033, 测试准确率: 0.9407\n",
      "Epoch [11/30], 模型: l2=0.0001, 训练损失: 0.0040, 测试损失: 0.0032, 测试准确率: 0.9423\n",
      "Epoch [12/30], 模型: l2=0.0001, 训练损失: 0.0038, 测试损失: 0.0031, 测试准确率: 0.9442\n",
      "Epoch [13/30], 模型: l2=0.0001, 训练损失: 0.0037, 测试损失: 0.0030, 测试准确率: 0.9457\n",
      "Epoch [14/30], 模型: l2=0.0001, 训练损失: 0.0036, 测试损失: 0.0029, 测试准确率: 0.9469\n",
      "Epoch [15/30], 模型: l2=0.0001, 训练损失: 0.0035, 测试损失: 0.0028, 测试准确率: 0.9490\n",
      "Epoch [16/30], 模型: l2=0.0001, 训练损失: 0.0034, 测试损失: 0.0027, 测试准确率: 0.9496\n",
      "Epoch [17/30], 模型: l2=0.0001, 训练损失: 0.0033, 测试损失: 0.0027, 测试准确率: 0.9515\n",
      "Epoch [18/30], 模型: l2=0.0001, 训练损失: 0.0032, 测试损失: 0.0026, 测试准确率: 0.9520\n",
      "Epoch [19/30], 模型: l2=0.0001, 训练损失: 0.0031, 测试损失: 0.0025, 测试准确率: 0.9535\n",
      "Epoch [20/30], 模型: l2=0.0001, 训练损失: 0.0031, 测试损失: 0.0025, 测试准确率: 0.9540\n",
      "Epoch [21/30], 模型: l2=0.0001, 训练损失: 0.0030, 测试损失: 0.0024, 测试准确率: 0.9558\n",
      "Epoch [22/30], 模型: l2=0.0001, 训练损失: 0.0029, 测试损失: 0.0023, 测试准确率: 0.9574\n",
      "Epoch [23/30], 模型: l2=0.0001, 训练损失: 0.0029, 测试损失: 0.0023, 测试准确率: 0.9573\n",
      "Epoch [24/30], 模型: l2=0.0001, 训练损失: 0.0028, 测试损失: 0.0022, 测试准确率: 0.9580\n",
      "Epoch [25/30], 模型: l2=0.0001, 训练损失: 0.0028, 测试损失: 0.0022, 测试准确率: 0.9595\n",
      "Epoch [26/30], 模型: l2=0.0001, 训练损失: 0.0027, 测试损失: 0.0021, 测试准确率: 0.9607\n",
      "Epoch [27/30], 模型: l2=0.0001, 训练损失: 0.0026, 测试损失: 0.0021, 测试准确率: 0.9607\n",
      "Epoch [28/30], 模型: l2=0.0001, 训练损失: 0.0026, 测试损失: 0.0021, 测试准确率: 0.9616\n",
      "Epoch [29/30], 模型: l2=0.0001, 训练损失: 0.0025, 测试损失: 0.0020, 测试准确率: 0.9630\n",
      "Epoch [30/30], 模型: l2=0.0001, 训练损失: 0.0025, 测试损失: 0.0020, 测试准确率: 0.9627\n",
      "Epoch [1/30], 模型: l2=0.001, 训练损失: 0.0185, 测试损失: 0.0070, 测试准确率: 0.8879\n",
      "Epoch [2/30], 模型: l2=0.001, 训练损失: 0.0123, 测试损失: 0.0055, 测试准确率: 0.9059\n",
      "Epoch [3/30], 模型: l2=0.001, 训练损失: 0.0112, 测试损失: 0.0049, 测试准确率: 0.9159\n",
      "Epoch [4/30], 模型: l2=0.001, 训练损失: 0.0105, 测试损失: 0.0045, 测试准确率: 0.9224\n",
      "Epoch [5/30], 模型: l2=0.001, 训练损失: 0.0100, 测试损失: 0.0043, 测试准确率: 0.9261\n",
      "Epoch [6/30], 模型: l2=0.001, 训练损失: 0.0095, 测试损失: 0.0041, 测试准确率: 0.9305\n",
      "Epoch [7/30], 模型: l2=0.001, 训练损失: 0.0091, 测试损失: 0.0039, 测试准确率: 0.9324\n",
      "Epoch [8/30], 模型: l2=0.001, 训练损失: 0.0088, 测试损失: 0.0037, 测试准确率: 0.9348\n",
      "Epoch [9/30], 模型: l2=0.001, 训练损失: 0.0085, 测试损失: 0.0035, 测试准确率: 0.9384\n",
      "Epoch [10/30], 模型: l2=0.001, 训练损失: 0.0082, 测试损失: 0.0034, 测试准确率: 0.9394\n",
      "Epoch [11/30], 模型: l2=0.001, 训练损失: 0.0079, 测试损失: 0.0033, 测试准确率: 0.9409\n",
      "Epoch [12/30], 模型: l2=0.001, 训练损失: 0.0076, 测试损失: 0.0032, 测试准确率: 0.9426\n",
      "Epoch [13/30], 模型: l2=0.001, 训练损失: 0.0074, 测试损失: 0.0031, 测试准确率: 0.9445\n",
      "Epoch [14/30], 模型: l2=0.001, 训练损失: 0.0071, 测试损失: 0.0030, 测试准确率: 0.9460\n",
      "Epoch [15/30], 模型: l2=0.001, 训练损失: 0.0069, 测试损失: 0.0029, 测试准确率: 0.9480\n",
      "Epoch [16/30], 模型: l2=0.001, 训练损失: 0.0067, 测试损失: 0.0028, 测试准确率: 0.9489\n",
      "Epoch [17/30], 模型: l2=0.001, 训练损失: 0.0065, 测试损失: 0.0027, 测试准确率: 0.9506\n",
      "Epoch [18/30], 模型: l2=0.001, 训练损失: 0.0063, 测试损失: 0.0027, 测试准确率: 0.9512\n",
      "Epoch [19/30], 模型: l2=0.001, 训练损失: 0.0061, 测试损失: 0.0026, 测试准确率: 0.9528\n",
      "Epoch [20/30], 模型: l2=0.001, 训练损失: 0.0060, 测试损失: 0.0025, 测试准确率: 0.9538\n",
      "Epoch [21/30], 模型: l2=0.001, 训练损失: 0.0058, 测试损失: 0.0025, 测试准确率: 0.9550\n",
      "Epoch [22/30], 模型: l2=0.001, 训练损失: 0.0056, 测试损失: 0.0024, 测试准确率: 0.9557\n",
      "Epoch [23/30], 模型: l2=0.001, 训练损失: 0.0055, 测试损失: 0.0024, 测试准确率: 0.9564\n",
      "Epoch [24/30], 模型: l2=0.001, 训练损失: 0.0053, 测试损失: 0.0023, 测试准确率: 0.9578\n",
      "Epoch [25/30], 模型: l2=0.001, 训练损失: 0.0052, 测试损失: 0.0023, 测试准确率: 0.9580\n",
      "Epoch [26/30], 模型: l2=0.001, 训练损失: 0.0051, 测试损失: 0.0023, 测试准确率: 0.9588\n",
      "Epoch [27/30], 模型: l2=0.001, 训练损失: 0.0050, 测试损失: 0.0022, 测试准确率: 0.9609\n",
      "Epoch [28/30], 模型: l2=0.001, 训练损失: 0.0048, 测试损失: 0.0022, 测试准确率: 0.9605\n",
      "Epoch [29/30], 模型: l2=0.001, 训练损失: 0.0047, 测试损失: 0.0021, 测试准确率: 0.9609\n",
      "Epoch [30/30], 模型: l2=0.001, 训练损失: 0.0046, 测试损失: 0.0021, 测试准确率: 0.9617\n",
      "Epoch [1/30], 模型: l2=0.01, 训练损失: 0.0636, 测试损失: 0.0072, 测试准确率: 0.8882\n",
      "Epoch [2/30], 模型: l2=0.01, 训练损失: 0.0425, 测试损失: 0.0058, 测试准确率: 0.9052\n",
      "Epoch [3/30], 模型: l2=0.01, 训练损失: 0.0310, 测试损失: 0.0053, 测试准确率: 0.9131\n",
      "Epoch [4/30], 模型: l2=0.01, 训练损失: 0.0232, 测试损失: 0.0050, 测试准确率: 0.9181\n",
      "Epoch [5/30], 模型: l2=0.01, 训练损失: 0.0179, 测试损失: 0.0048, 测试准确率: 0.9203\n",
      "Epoch [6/30], 模型: l2=0.01, 训练损失: 0.0142, 测试损失: 0.0047, 测试准确率: 0.9231\n",
      "Epoch [7/30], 模型: l2=0.01, 训练损失: 0.0116, 测试损失: 0.0045, 测试准确率: 0.9262\n",
      "Epoch [8/30], 模型: l2=0.01, 训练损失: 0.0098, 测试损失: 0.0044, 测试准确率: 0.9264\n",
      "Epoch [9/30], 模型: l2=0.01, 训练损失: 0.0085, 测试损失: 0.0043, 测试准确率: 0.9289\n",
      "Epoch [10/30], 模型: l2=0.01, 训练损失: 0.0076, 测试损失: 0.0042, 测试准确率: 0.9315\n",
      "Epoch [11/30], 模型: l2=0.01, 训练损失: 0.0070, 测试损失: 0.0041, 测试准确率: 0.9321\n",
      "Epoch [12/30], 模型: l2=0.01, 训练损失: 0.0065, 测试损失: 0.0040, 测试准确率: 0.9352\n",
      "Epoch [13/30], 模型: l2=0.01, 训练损失: 0.0062, 测试损失: 0.0039, 测试准确率: 0.9354\n",
      "Epoch [14/30], 模型: l2=0.01, 训练损失: 0.0059, 测试损失: 0.0039, 测试准确率: 0.9362\n",
      "Epoch [15/30], 模型: l2=0.01, 训练损失: 0.0057, 测试损失: 0.0038, 测试准确率: 0.9375\n",
      "Epoch [16/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0037, 测试准确率: 0.9383\n",
      "Epoch [17/30], 模型: l2=0.01, 训练损失: 0.0054, 测试损失: 0.0037, 测试准确率: 0.9388\n",
      "Epoch [18/30], 模型: l2=0.01, 训练损失: 0.0053, 测试损失: 0.0036, 测试准确率: 0.9401\n",
      "Epoch [19/30], 模型: l2=0.01, 训练损失: 0.0052, 测试损失: 0.0036, 测试准确率: 0.9423\n",
      "Epoch [20/30], 模型: l2=0.01, 训练损失: 0.0051, 测试损失: 0.0035, 测试准确率: 0.9407\n",
      "Epoch [21/30], 模型: l2=0.01, 训练损失: 0.0050, 测试损失: 0.0035, 测试准确率: 0.9424\n",
      "Epoch [22/30], 模型: l2=0.01, 训练损失: 0.0050, 测试损失: 0.0034, 测试准确率: 0.9432\n",
      "Epoch [23/30], 模型: l2=0.01, 训练损失: 0.0049, 测试损失: 0.0034, 测试准确率: 0.9455\n",
      "Epoch [24/30], 模型: l2=0.01, 训练损失: 0.0049, 测试损失: 0.0033, 测试准确率: 0.9460\n",
      "Epoch [25/30], 模型: l2=0.01, 训练损失: 0.0048, 测试损失: 0.0033, 测试准确率: 0.9457\n",
      "Epoch [26/30], 模型: l2=0.01, 训练损失: 0.0048, 测试损失: 0.0033, 测试准确率: 0.9465\n",
      "Epoch [27/30], 模型: l2=0.01, 训练损失: 0.0047, 测试损失: 0.0033, 测试准确率: 0.9472\n",
      "Epoch [28/30], 模型: l2=0.01, 训练损失: 0.0047, 测试损失: 0.0032, 测试准确率: 0.9467\n",
      "Epoch [29/30], 模型: l2=0.01, 训练损失: 0.0046, 测试损失: 0.0032, 测试准确率: 0.9471\n",
      "Epoch [30/30], 模型: l2=0.01, 训练损失: 0.0046, 测试损失: 0.0031, 测试准确率: 0.9497\n",
      "Epoch [1/30], 模型: l2=0.1, 训练损失: 0.1755, 测试损失: 0.0101, 测试准确率: 0.8751\n",
      "Epoch [2/30], 模型: l2=0.1, 训练损失: 0.0177, 测试损失: 0.0089, 测试准确率: 0.8885\n",
      "Epoch [3/30], 模型: l2=0.1, 训练损失: 0.0129, 测试损失: 0.0083, 测试准确率: 0.8921\n",
      "Epoch [4/30], 模型: l2=0.1, 训练损失: 0.0120, 测试损失: 0.0079, 测试准确率: 0.8951\n",
      "Epoch [5/30], 模型: l2=0.1, 训练损失: 0.0114, 测试损失: 0.0075, 测试准确率: 0.8973\n",
      "Epoch [6/30], 模型: l2=0.1, 训练损失: 0.0110, 测试损失: 0.0073, 测试准确率: 0.8966\n",
      "Epoch [7/30], 模型: l2=0.1, 训练损失: 0.0106, 测试损失: 0.0071, 测试准确率: 0.8985\n",
      "Epoch [8/30], 模型: l2=0.1, 训练损失: 0.0103, 测试损失: 0.0069, 测试准确率: 0.8983\n",
      "Epoch [9/30], 模型: l2=0.1, 训练损失: 0.0101, 测试损失: 0.0069, 测试准确率: 0.8960\n",
      "Epoch [10/30], 模型: l2=0.1, 训练损失: 0.0099, 测试损失: 0.0066, 测试准确率: 0.8994\n",
      "Epoch [11/30], 模型: l2=0.1, 训练损失: 0.0097, 测试损失: 0.0066, 测试准确率: 0.9010\n",
      "Epoch [12/30], 模型: l2=0.1, 训练损失: 0.0095, 测试损失: 0.0065, 测试准确率: 0.8980\n",
      "Epoch [13/30], 模型: l2=0.1, 训练损失: 0.0094, 测试损失: 0.0064, 测试准确率: 0.9009\n",
      "Epoch [14/30], 模型: l2=0.1, 训练损失: 0.0092, 测试损失: 0.0063, 测试准确率: 0.9047\n",
      "Epoch [15/30], 模型: l2=0.1, 训练损失: 0.0091, 测试损失: 0.0063, 测试准确率: 0.9023\n",
      "Epoch [16/30], 模型: l2=0.1, 训练损失: 0.0090, 测试损失: 0.0061, 测试准确率: 0.9028\n",
      "Epoch [17/30], 模型: l2=0.1, 训练损失: 0.0089, 测试损失: 0.0061, 测试准确率: 0.9070\n",
      "Epoch [18/30], 模型: l2=0.1, 训练损失: 0.0088, 测试损失: 0.0061, 测试准确率: 0.9048\n",
      "Epoch [19/30], 模型: l2=0.1, 训练损失: 0.0087, 测试损失: 0.0060, 测试准确率: 0.9048\n",
      "Epoch [20/30], 模型: l2=0.1, 训练损失: 0.0086, 测试损失: 0.0059, 测试准确率: 0.9064\n",
      "Epoch [21/30], 模型: l2=0.1, 训练损失: 0.0086, 测试损失: 0.0060, 测试准确率: 0.9039\n",
      "Epoch [22/30], 模型: l2=0.1, 训练损失: 0.0085, 测试损失: 0.0059, 测试准确率: 0.9043\n",
      "Epoch [23/30], 模型: l2=0.1, 训练损失: 0.0084, 测试损失: 0.0058, 测试准确率: 0.9050\n",
      "Epoch [24/30], 模型: l2=0.1, 训练损失: 0.0084, 测试损失: 0.0058, 测试准确率: 0.9071\n",
      "Epoch [25/30], 模型: l2=0.1, 训练损失: 0.0083, 测试损失: 0.0058, 测试准确率: 0.9076\n",
      "Epoch [26/30], 模型: l2=0.1, 训练损失: 0.0082, 测试损失: 0.0059, 测试准确率: 0.9022\n",
      "Epoch [27/30], 模型: l2=0.1, 训练损失: 0.0082, 测试损失: 0.0056, 测试准确率: 0.9095\n",
      "Epoch [28/30], 模型: l2=0.1, 训练损失: 0.0081, 测试损失: 0.0056, 测试准确率: 0.9101\n",
      "Epoch [29/30], 模型: l2=0.1, 训练损失: 0.0081, 测试损失: 0.0058, 测试准确率: 0.9062\n",
      "Epoch [30/30], 模型: l2=0.1, 训练损失: 0.0080, 测试损失: 0.0056, 测试准确率: 0.9096\n"
     ]
    }
   ],
   "source": [
    "nets = {}\n",
    "for l2_lambda in l2_lambdas:\n",
    "    nets[f\"l2={l2_lambda}\"] = (MinistForwardNet().to(device), l2_lambda)\n",
    "\n",
    "loss_function = nn.CrossEntropyLoss()\n",
    "\n",
    "loss_history = {\n",
    "    \"Train Loss\": {},\n",
    "    \"Test Loss\": {},\n",
    "    \"Test Acc\": {},\n",
    "}\n",
    "num_epoch = 30\n",
    "\n",
    "for net_name in nets:\n",
    "    loss_history[\"Train Loss\"][net_name] = []\n",
    "    loss_history[\"Test Loss\"][net_name] = []\n",
    "    loss_history[\"Test Acc\"][net_name] = []\n",
    "    for epoch in range(30):\n",
    "        net, l2_lambda = nets[net_name]\n",
    "        optimizer = torch.optim.SGD(net.params, lr=0.01)\n",
    "        train_loss_epoch, item_cnt = 0, 0\n",
    "        for x, y in train_iter:\n",
    "            x, y = x.to(device), y.to(device)\n",
    "            x = x.view(-1, 28*28)\n",
    "\n",
    "            pred = net(x)\n",
    "            los = loss_function(pred, y)\n",
    "            los += l2_lambda * torch.sum(net.w1**2)\n",
    "            los.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            train_loss_epoch += los.item()\n",
    "            item_cnt += y.shape[0]\n",
    "\n",
    "        train_loss_epoch /= item_cnt\n",
    "        loss_history[\"Train Loss\"][net_name].append(train_loss_epoch)\n",
    "        with torch.no_grad():\n",
    "            test_loss_epoch, test_acc_epoch, item_cnt = 0, 0, 0\n",
    "            for x, y in test_iter:\n",
    "                x, y = x.to(device), y.to(device)\n",
    "                x = x.view(-1, 28*28)\n",
    "                pred = net(x)\n",
    "                los = loss_function(pred, y)\n",
    "                test_loss_epoch += los.item()\n",
    "                test_acc_epoch += (pred.argmax(dim=1).long() == y.long()).sum().item()\n",
    "                item_cnt += y.shape[0]\n",
    "\n",
    "        test_loss_epoch /= item_cnt\n",
    "        loss_history[\"Test Loss\"][net_name].append(test_loss_epoch)\n",
    "        test_acc_epoch /= item_cnt\n",
    "        loss_history[\"Test Acc\"][net_name].append(test_acc_epoch)\n",
    "        print(\n",
    "            f\"Epoch [{epoch + 1}/{num_epoch}], 模型: {net_name}, 训练损失: {train_loss_epoch:.4f}, 测试损失: {test_loss_epoch:.4f}, 测试准确率: {test_acc_epoch:.4f}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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PUE0Bk7UFXKMpxKpxdepT59UYaArpiyuiP0QPQhc/iOIwC1+5ythWuYu9VXvxqbX+jRXQa/SM7DMyEKaGRA3ptVYjvVaPzWTDZrL1yvHPh4QrIYQQQgghgKIaOxtzq9h2vJrCEi0rG/Zg1Osw6LTotRr0Oi0GnQa9tvU56LV/G4NOi16nwaD1P+t1Wgyt+3Zc3ujwtIYnO4WtIaqkzoFX8bccmXCToSlmmLaAqZp8hmoLGGwqxqTpPJKzT29FjR+OPjETEkZCYib6mEE4HdVsLd3KltItbC/4M43u4C6BfcP7MiFhAhMTJzIufhyhxq4Hp7jYFKcTd0EB3poaQidN6u3qnBUJV0IIIYQQ4qrU6PSw7UQNm3Kr2JRbTWFNx25oWg7UVV6UelhwMkRTxFRtPiOMhWTqC+mnFKHH13ljU7g/QCWMhIRMSBiJNiqdKlctuXW5/kfu2+zbuo+CxoKgXcMMYVybcC0TkyYyIWECyWHJF+X8uqKqKr7aWtx5ebjy8v3P+Xm4T+ThKS0FVUVrszHoy21oOgymcamTcCWEEEIIIa4KPkVl38l6NuVWsym3ipyienxK+8ANeq2G0X0jmZgeRXn+UQYPHYaKBq9PxaMoeH0qXp+CR2l99ql4W5cHv1bwKq3PPhWvz4fB24LVV0+It4FQXz1pmnJG6ApI9x4n2lGIhg4DSCitz5YoaGuNan20hMSS23CC3PrWILUri9z6XBpcDZ3OV6fRMTxmOBMTJzIhcQLDYoah117cj/+q14vn5ElceXmnBKl8lIbOdW6jtdkwpaej2u1oQkIuYo3Pj4QrIYQQQghxxTpZZw+EqS3Ha2hwBHerS4sJYfLAGKYMjOW6/tGEmvR4PB6y7EeYNT4Fg6GL6XDddrDXtD6qwV7b4eu2Ry24OnyteE9f0dD4oBDljR9OIR5y649zrO4YuRXZ5B75MyXNJV3urtVo6Rvel4ERAxkYOZCMyAzGxI8h3Bh+rm/dWfE1N+POz+/cElVYBJ7OXRkB0GgwJCVhTE/DlJaOMT0dU3oaxv790UVGXlYtVm0kXAkhhBBCiMuTqoLiA8UDPg8oXuwOBzkFVezKqySnoJKy2mYM+NDjZQA+ws2QmRjCyIQQhsZbibV6QKkG93446C9H63EyqGwn2s83gbMuODDZa8B7+jmbumUIQTVH0VIdisdjQ5c0AF3foTQkp5FvVTnmK+NY43Fyc/9O3s48PErXoSTWEsvAyIEMihzEwMiBDIwYSHpEOiad6TzezO4pLhe+urrAw1tXh6+mBndBYaBFylvZfRdKjdmMMS0NU3q6P0il+4OUsW9ftGbzBalzb5FwJYQQQgghLl2qCvWFcHInlOzyP1ceBq/TH6pOYQWub30A0FXeKG19nMIDHDYZ2W8yYtdo2Zx7ygYaIMQAGECrA4PV/zBa2l8HlgV/bXCoxK0/SvzyfZirGoAGoAjIBiAKGA8MNUOTFRotYA/Ro42wYYqOJSw2iZiENBISBxHeJxl9ZCS6yEi0YWFotFrOlOrx4GtoaA9JtXX46juEprr64CBVX49qP7Mh0XWxMa0tUK0BKs3fEqVPSDirOl7Oej1c/elPf+L3v/895eXljBw5kv/93/9l/PjxXW7r8Xh44YUX+Mc//kFJSQkZGRm89NJL3HLLLUHblZSU8NRTT7Fq1SrsdjsDBgzgb3/7G2PHjr0YpySEEEIIIc6Vs6E1RO2Ckp3+MGWvPuPdFVWDV6ND1RrQ6gzoDEa0OgNoDaDTtz4bQKunWadjn1Zll87Dbtzsx4kT9esPEsTlf3jq/emsI1Vl8EmYuUthzFEVfeu9VM1mOJakwepUCbdDuANCnf6pqMKc/kciAF6gpvVxBIC61keATocuIgJ9VCS6CH/g0kVGorVYAiHKH5L8wUlp7HoS4a+l16OLjEDf4RjG1BSM6f39XfnS0tCFX5wuiJeyXg1X7777Lk888QRLly7l2muvZdGiRcycOZOjR4/Sp0+fTtsvWLCAt956i9dee43Bgwfz+eefc+edd7J161ZGjRoFQF1dHZMmTeKGG25g1apVxMbGkpubS2Rk5MU+vUvOtGnTyMzMZNGiRb1dFSGEEEII8HlxlOzDmb8d9eQuTBU5WBvzggd3ALzoOaFLY486gK/caez19aNZteBFjwcdJpOJMWl9mDQojskZ8fSN7noAhEp7JTmVOeyu2M3uyt0crTuKoipB29hMNkbGjKSlqoXUlFS059Diond46Le1gAHrj2MraQ8zNWlRHL9xAMXjUggJjWJg5ECSIgeSZkvDqOqCw9CprUj1nZcpLS3g8+GrqcFXU3PmFdRo0EVEBEKSLjLC3xLWITgFlrWFtdDQy/IeqIutV8PVH/7wB37wgx/wwAMPALB06VJWrlzJG2+8wdNPP91p+zfffJNf/epXzJo1C4Af//jHrFmzhpdffpm33noLgJdeeomUlBT+9re/BfZLS0u7CGdz+fB4PCxYsICsrCzy8vKw2WxMnz6dF198kcTExHMqs6ysjJ///Ofs3LmT48eP87Of/azHQlxRURE//vGPWbduHaGhoXzve9/jhRdeQK/3f/uuX7+eG264ocs6xcef2WziQgghhOgZTo+P/OoW6lrc1Nrd/ucWD3UtLpSGEmIa9pHccpB01xEylBNYNG4sp5RRpMSyRx3AHmUAe5T+HFT74eowS65WAyNSIpgyMIbJg2LJTInAoAsOQaqqkt+Q7w9TlbvZVbGry8EgkkKTGBM3hlF9RjG6z2j62frh8/rIyspi1rWzuh7QortzP3KEun+9Q8MnnwW60mksFmxzZhNxzz0MGTq0vbtiF/TR0eijo8/4eIrb7Q9b9afcD1VXh2K3o7NFdApJushIdOHhaHS9M0Hwla7XwpXb7WbXrl0888wzgWVarZbp06ezbdu2LvdxuVyYT7npzWKxsHnz5sDXK1asYObMmcybN48NGzaQlJTEf/zHf/CDH/yg27q4XC5cLlfg68bW5lKPx4PnlNFNPB4PqqqiKAqKEvyXjgtBVdXAc08cT1VVmpub2bVrF7/61a8YOXIkdXV1PP7448ydO5evvvrqnMp1OBzExMTwy1/+ksWLF/dYfX0+H7NnzyYuLo7NmzdTVlbG/fffj16v53e/+x1A4DiHDx8mvENzdExMzHnVQVEUVFXF4/Ggu8A/gNq+z079fhNXDrnGVwe5zlc+ucZdc7h9bMit5rMDFaw7VoXd7SMEByO0eWRqTpCpPU6m9jhxmvrgHTXQqFrYpw7gmD6DAssQKkOHogvrQ2SIgUirgTlWI9+xGogMMRJpNRBpNRJlNWAydPjdrPiwe5wcrjvM7srd7Knaw97qvdS7go+n1WgZFDGIzNjMwKOPNbi3lM/rO6vrrLhctHyxmoZ338W5d29guSEtDds35xN2222B7nI9/n2j0UBUJLqoSM70k4oKeBUFLsLn2EvZ2Vzjs7luGrXt0/tFVlpaSlJSElu3bmXChAmB5U8++SQbNmxg+/btnfa577772Lt3L8uXL6d///6sXbuW22+/HZ/PFwhHbeHriSeeYN68eezYsYNHH32UpUuX8r3vfa/LuixcuJDnn3++0/K3334bq9UatEyv1xMfH09KSgpGY+tfUFT13EeNOR96i/8/1RmaM2cOw4cP54UXXui0Licnh5tuuol9+/aRkpJyXtU63XH++c9/8qc//YnCwkJSU1P54Q9/yEMPPdRtWatXr+aee+7h8OHDga6ib7zxBgsXLuT48eMYjUY2b97MbbfdRkFBATab7bzq3pHb7aa4uJjy8nK83q8ZPlUIIYS4yrh9cKhew54aDQfrNBgVBxO0h5is3c+1uiMM0JxEd0r3Ph9aKgwplJv7U2PtT2NIOt6QBEw67dl8pAHAqTop8hZR6C2k0FvISd9JvAT/vjZgIFmfTF9dX/rq+5KiT8Gs6ZnR6Qw1Ndi2b8e2Yye61lYqVauleehQ6idchyM9/aw+p4lLl91u57777qOhoSHoD/ld6fUBLc7G4sWL+cEPfsDgwYPRaDT079+fBx54gDfeeCOwjaIojB07lv/6r/8CYNSoURw4cOC04eqZZ57hiSeeCHzd2NhISkoKM2bM6PQGOp1OiouLCQ0NbW9Fc7egfXFID5/t11OePgnGM59UTa/XYzQau/ym8Hq9aDQaUlJSAuuHDx9OYWFht+Vdf/31ZGVlnfFxli1bxosvvsgf//hHRo0axe7du/nRj35EdHR0t9dm3759DB8+nAEDBgSW3X777fz85z+nuLiYUaNGBQLw1KlTcblcDB06lOeee45JkyZ9/ZtyGk6nE4vFwpQpUzq1mPY0j8fD6tWrufnmm8+q+4G4fMg1vjrIdb7yXe3X2OH2sf5YFZ8drGDjsUr6e3KZrN3P0/r9jNHmoscXtL0anoyaNAY1cbT/OX4EsQYrsedwbK/iZW/1XjaXbObL8i/JbcjtdL9UhCmCUbGjAq1SgyMHY9Cd/XXq7jqrPh/2jRtpePc97Fu2BJbr4+MJv/tuwr9xJ/rYczk7cbGdzf/lxrMYBKTXwlVMTAw6nY6Kioqg5RUVFd3eJxMbG8vy5ctxOp3U1NSQmJjI008/TXp6emCbhIQErrnmmqD9hgwZwocffthtXUwmEyZT53E6DQZDpzfb5/Oh0WjQarXtNzj20tCSWq32rI/dVveOnE4nzzzzDPfeey8RERGB5VlZWadtBrVYLN3e5NnVcZ5//nlefvll7r77bgD69+/PkSNHeO211wL33Z2qoqKCuLi4oLISEhIAqKysRKvVkpSUxNKlSxk7diwul4vXX3+dG2+8ke3btzN69Oju34yvodVq0Wg0XX4fXCgX81iid8g1vjrIdb7yXU3X2OH2se5oJSv3l3H48CHGKXuYpd3Hf2kPEGFqCd44qj/0vxHSp0LyODRh8ZxP202ds47NJZvZeHIjW0q30ORuClqfEpYSuFdqVNwo0sLTenTQhbbr7K2qov7DD6l79z28ZWWB9SHXX0/kffcSOmUKGv1l1WYhWp3J/+Wz+b/ea98FRqORMWPGsHbtWu644w7A3+q0du1afvKTn5x2X7PZTFJSEh6Phw8//JD58+cH1k2aNImjR48GbX/s2DH69u3b4+cQYLDCL7uYLKEHKIpCY1MT4WFhnYOMwdr1TmfB4/Ewf/58VFXl1VdfDVrXk+9ZS0sLJ06c4Pvf/37Q/W9erzfQle/WW29l06ZNgWMfPHjwjMrOyMggIyMj8PXEiRM5ceIEr7zyCm+++WaPnYMQQghxtWgLVGv25GE/toFr1T08rt3PAF0pHW/uUU3haNKn+gNV/xshst95HVdVVY7WHWXjyY1sPLmRfVX7UDt0LYwwRXB90vVMTprM2Pixne6X6lGqimPHTiref4+m1Wug9RYBXUQEtru+QeQ3v4kxNfXCHV9clno1Yj/xxBN873vfY+zYsYwfP55FixbR0tISaMX47ne/S1JSUuDene3bt1NSUkJmZiYlJSUsXLgQRVF48sknA2U+/vjjTJw4kf/6r/9i/vz5fPXVV/zlL3/hL3/5y4U7EY3mrLrnnRVFAYPPX34Pt5C1BavCwkKys7M7deMbOnToabsFTp48mVWrVp3RsZqbmwF47bXXuPbaa4PWtQ0W8frrr+Nw+O9da/sLQXx8fKdBNtpaO083EuD48eODBjoRQgghxOnZ3V7WHa5g/85NGAvXMUHdx4vaoxh17V39VI3W3yLVGqY0iaP9c0edz3E9draXbWfDyQ1sKtlEpb0yaH1GZAZTkqcwJXkKw2OGo9NemEGmVFXFW1mFOz+Plv376fvmW5RUttfFkplJ5L33EHbLLWi76PEkBPRyuPrmN79JVVUVv/71rykvLyczM5PPPvuMuLg4wD8Ed8fWGqfTyYIFC8jLyyM0NJRZs2bx5ptvBnVlGzduHB9//DHPPPMMv/nNb0hLS2PRokV861vfutind0lrC1a5ubmsW7eO6C6G/TyTboFnKi4ujsTERPLy8rq9FklJSZ2WTZgwgd/97ndUVlYGBrRYvXo14eHhnbp/drRnz55A90EhhBBCdM3u9rJ19wFKc1YSVbaFCZp9zNY0+WezbeUOTcaQcTOa/jeiSZsClojzPm5xUzEbT25k08lN7CjfgVtxB9ZZ9Baujb+WKSlTmJw0mfiQnp1WRXW7cRcV4crLw52Xjzs/D1dePu68PP+8Ua1MtA6jftttRN57D+YhF//+enH56fXOoT/5yU+67Qa4fv36oK+nTp3KoUOHvrbMOXPmMGfOnJ6o3hXJ4/Fw9913k5OTw6efforP56O8vByAqKiowCiIZ9stcM+ePYC/laqqqoo9e/ZgNBoDIej555/nZz/7GTabjVtuuQWXy8XOnTupq6sLGlCkoxkzZnDNNdfwne98h//+7/+mvLycBQsW8MgjjwTuk1u0aBFpaWkMHToUp9PJ66+/TnZ2Nl988cW5vD1CCCHElUtVsTfXsf/LNTQd/ILUum1M15z0r2sNVC6tFWfyJMKHzUTT/0aMUec/6p1H8bCncg8bT25kw8kN5DfkB61PCk0KtE6Nix+HSXf+LUO+hoYuA5S7uBh8vq530moxpqSgT+tHvi2C6556EnNU1HnXRVw9ej1ciYuvpKSEFStWAJCZmRm0bt26dUybNu2cyh01alTg9a5du3j77bfp27cvBQUFADz00ENYrVZ+//vf84tf/IKQkBCGDx/OY4891m2ZOp2OTz/9lB//+MdMmDCBkJAQvve97/Gb3/wmsI3b7ebnP/85JSUlWK1WRowYwZo1a7qcWFgIIYS4bKkquFvA1QjOxg7PDcFfOxs6baO6GvDaG9C6m7HiI9BBXwMKGspDhqAfOJ3YzFswpYzHdA4j7J2qxlETGIxiW+k2mjztg1HoNDpG9RnF1OSpTEmeQprt3AaiUBUFT2kp7ry89iCVl4crPx9fTU23+2lDQjCmp2NKT8OYlo4xPQ1TejqG1FS0RiMej4c9WVnowsLO6dzF1UvC1VWkY0vghZje7EzKvO+++7jvvvvOqty+fft2OeR7myeffDLovjshhBDisuFqhoaTrY9i/3NjKTjrOwSltvDUBGo3LS5fQwN0jEsVmmjKYiYSNfwWUsbcSmJI59sDzpTH56G0pZTipmKKGosobipmX9U+9lfvDxqMIsoc5R+MInkyE/qMJ1QxojocKE1OXJW5qE4nisOJ6nSgOJwoTkfXyxxOfI2NuAsKcBcUoLbOddoVfXx8pwBlTE9H36dPj44qKEQbCVdCCCGEEBeC4oOm8uDgFPQo9oeos6XRgTkcTOGtz7agr526UA7XwvZSDwdqoAkrTaoFrymc64akc+uYgWSmJxJ3FgNltXhaKG4q7vQ42XSSspYyFFXB4FEZfFJlZL7KrTVwuwciVDMRWAlVDOjdCqpjNYrzE0pPc0/3Wb8dBgPGfn39Aap/uj9ApaVj7NcPXegFGnBMiG5IuBJCCCGEOBeups6tTm2P+mJoKgXF+/XlmG1gS2l9JEN4Ilijug1PGKyd7oHyKSqbcqv4MKeELw6W4/L6J9fVamDywFjuH5PMjGviMBu6HmlPVVVqnDWcbDrZZYiqddZ2tRMp1XBrvsqoAg1DChUM3lN7sThaH9Bdm5vGYkFrNqOxmNGa215b0FosaC1mNOZT1lvMaK1WDKmp/q58SUkyx5S4ZMh3ohBCCCHE11F8ULgV7YGPmHZ4NfrDP/V32fs6Wr0/LLUFp8CjLUglgTk8ML9TdlE2O8p34Gv2odfq0Wv0/ucOD4PWEFjX7FTIq3JyvMJOixtQtWDTkRhqITM5msyUaKKsDhRtKWuKW/fXGKhx1nRqgbJ77ac9lUhTJBmaeMYUGRiYa6fPgRL0tcGT+urj4giZNAnLiBFoQ0Nbw5HZH5TMrUGpwzKNySTd88QVRcKVEEIIIURXWgMVBz+Gw59ASyU6wNZxG3NEF8GpQ3gKi4du5mXyKl52V+4muyibdcXrKGkuOfe6hvuHDm/TBGyq9T/OlAYN8SHxpISlkBKWQnJYMqmmRFIKmgnbm4dn2w6ch/YH72M2Yx0/jtBJkwiZNAlj//4SlsRVTcKVEEIIIUQbxQeFW+Dg8kCgCjBHoAyaxY6mWEbfPB9DdF8wnd1ock6vk62lW8kuymbDyQ3Uu+rbi9eZmZg4kakpUwk3huNVvHgUD17Fi8vn4XBZPbuLqzlW2YCi+kDjQ6tVSI02MaCPlcQIAwo+vIq3/aG2l9HxEW4KJzUsleSw5ECYSgpNwqA14M7Pp2XzFpq3bMb+1Q5Uh4OO7VOmIUMInTTR30I1erRMqCtEBxKuhBBCCHF1CwpUK6Clqn2dOQIGz4Ghd0LaFHyqhvKsLIjNAMOZDVfe4Gpgw8kNZBdls7V0Kw6vI7DOZrIxNXkqN6beyMTEiVj0lqB9D5Y28MGuk6zYU0pNSwiQBMDQxHDuGp3M7ZmJRIeeX7jx1tVh3/ol1Vv+SsuWrXjLyoLW62JiAmEqZMIE9LGx53U8Ia5kEq6EEEIIcfUJBKq2Ln+nBKohc+CaOyF9KnSc88njwauA26ugapRuiy9rKWPDyXWsK85md2UOvg5DqMdbE7gh5UampdxAZuwo9Nr2j2Nur0K93c2KvaV8sOskR8rb24xiQk3cOSqRu8YkMzg+/JxPXfV4cOzdS/OWLbRs2Ypz/37/HFqtNEYj1rFjCJl0PSHXT8I0aJB09RPiDEm4EkIIIcTVwef1B6pDy7sPVEPvhDR/oHK4feSWNXGkvImjrY8j5Y1UN+v5+fY1pxSuojVVoA87iD70EDpL8P1TPmc83qaheJuuIdeVSO4uDX+hGlh92iobdVpuviaOu8YkMWVgLHrdmQ2frjideE6exF1UjKe4CHdRMe6iIjxFRbhLS+GUodBNAwf6W6YmTcI6dgxai6WbkoUQpyPhSgghhBBXrrZA1dZCZa9uX2eJhMFz8A25gyLbWI5WOThS0MSRbfs4WtFEQU1LxwadLijoLEX+QBV2CK2xJrBGVTX4HH0DgUr1nN0kvZkpEdw9JpnbRiRis3bd/dBXX4+7uDU0FRf7g1RREe7iYrwVFactXxcZScjE1q5+kyZiiIs7q/oJIbom4eoqMm3aNDIzM1m0aFFvV0UIIYS4cHxeKNzcPihFh0ClmCOpTLqZ3WFTWe8ewuFiB8d2NuH0bOmyqOgQIxnxYWTEhzE4PozUKD2rd7yFPaGRrWWbqHO1D8dn1BoZF38dU5KmMSlxCpHmqHOqvl6rwWrUoyoK3spKWg50CE9trVDFxSgNpx8KXhsaiiE1BWNKKsbUFAwpKRhTUzGmpKBPSEBzFpMICyHOjISrq5DH42HBggVkZWWRl5eHzWZj+vTpvPjiiyQmJp5zuevXr+eJJ57g4MGDpKSksGDBAu6///7T7rNv3z4eeeQRduzYQWxsLD/96U958skng7Z5//33efbZZykoKGDgwIG89NJLzJo1K7BeVVWee+45XnvtNerr65k0aRKvvvoqAwcODGzzu9/9jpUrV7Jnzx6MRiP19fXnfJ5CCCEuIV431OZB9TH/o+oonMgOClR2XTjbzRP5wDGWz+sH4a1v+/hTHtjGpNcyKK49RPmfw4kNM+FTfOys2ElW/nss2v4FzZ5mKPDvF2YMCwxIMSlxElaD9ayqr7rduEtKAuHJXVSIp6iYsuJiPCdPorpcp91fHxuLoTUwBQWp1FR0ERFyr5QQF5mEq6uQ3W4nJyeHZ599lpEjR1JXV8ejjz7K3Llz2blz5zmVmZ+fz+zZs3n44YdZtmwZa9eu5aGHHiIhIYGZM2d2uU9jYyMzZsxg+vTpLF26lP379/Pggw8SERHBD3/4QwC2bt3KvffeywsvvMCcOXN4++23ueOOO8jJyWHYsGEA/Pd//zd//OMf+cc//kFaWhrPPvssM2fO5NChQ5jNZgDcbjfz5s1jwoQJ/PWvfz2ncxRCCNGLHHVQnesPT9XH/K+rj0FdAXQYLKJNrRrK575xZCnXsk25Bm+L/yOPRgP9oqyB8NQWpPpGh6DTtgcRVVU5VHuIv+1YyWf5n1HlaL8/K0wTxq0DbuXmtJsZEzcGg/b0owb6mpv93fWKinEXF+FpbXnyFBXhKS8HpfuBMdDpMCQldQ5PKakYU5LRWs8uzAkhLiwJVz1AVdWgYVV7kqIoOLwO9B492lOa7y16yzn9Rcpms7F6dfANtEuWLGH8+PEUFRWRmpp61mUuXbqUtLQ0Xn75ZQCGDBnC5s2beeWVV7oNV8uWLcPtdvPGG29gNBoZOnQoe/bs4Q9/+EMgXC1evJhbbrmFX/ziFwD89re/ZfXq1SxZsoSlS5eiqiqLFi1iwYIF3H777QD885//JC4ujuXLl3PPPfcA8PzzzwPw97///azPTQghxEWiKNBQ1B6cOoaojoNPnKJZtXBcTeSEmsgJJZF9ajpfKkOwhVgZnBDGd+PaQ9TAuFCsxu4//hQ2FpKVl0VWfhYFjQWB5eHGcGb0m8HMlJmU7Sxjzrg5GFqHYldVFV91dfv9T62DR7QFKV9d3WlPW2OxtIen1L5BXfgMCQlo9PJxTYjLhfxv7QEOr4Nr3772oh93+33bz7r7QXcaGhrQaDREREQElg0dOpTCwsJu95k8eTKrVq0CYNu2bUyfPj1o/cyZM3nssce63X/btm1MmTIFo9EYtM9LL71EXV0dkZGRbNu2jSeeeKJTucuXLwf8LWbl5eVBx7bZbFx77bVs27YtEK6EEEJcQtx2qDkeHJ6qc6EmF7zObndrMMaRryay19mHXKU9TFUSQZjJwOh+kYzrF8nDKZG8Eh9GbNiZzf9UZa/is4LPWJm3koM1BwPLzToz01KmMTt9NpMSJ6FXoHn/fpzbv6L68BG8JSX+IHXyJKrdftpj6KKiWgNUhy58ra91MTHSfU+IK4SEK4HT6eSpp57i3nvvJTy8fd6MrKwsPKcM1dqRpcMwreXl5cSdMtJQXFwcjY2NOByOoG077pOWltZpn7Z1kZGR3ZZbXl4e2K7jfl1tI4QQopepKlQcgP3v+weYqM3rflOdEU9EOpXGVI56E/iyKYptDdHkqYnYnebAdvHhZsalRXFrv0jG9o0iIz4sqFvf12lyN7GmcA0r81eyo3wHiurvmqfT6JiQOIFZabOYFjUezcHjOD7eRemuv+PYuxfV6SQOqD+1QK0WQ3x89/c/hYae+fslhLhsSbjqARa9he33bb8gZSuKQlNTE2FhYV12CzxfHo+H+fPno6oqr776atC6vn37nnf5QgghrmJ1BbD/A3+oqjoSvM4SCTEZKNEDqTCmst8dx+a6SD4vMVFR4u1U1KC4UMb2i2Jca5hKjjz7rvEun4uNJzeSlZfFxpMbcSvuwLrM2EzmRkxmUnUU2u3HsP/f3zh55OlO90NpbTaa4uNJHDcWc7+09i58SUloOvTEEEJcnSRc9QCNRtNj3fNOpSgKXr0Xq8HaKVydr7ZgVVhYSHZ2dlCrFZxdt8D4+HgqTplTo6KigvDw8C5brU63T9u6023TcX3bsoSEhKBtMjMzu627EEKIC6S5yj+n1P734eRX7ct1Jhg0E9eQO9mrHca2cg07C2vJyamjxd1xQAovBp2GEckRjO0Xybi+UYztF0mE9dyCi0/x8VX5V6zMW8naorX+kf4AVJUJ7lRuaxnA4JOg2XcET/ErnDq4uSE5GeuY0VhGj8E6ZjSalBRWffYZI2fNCtxzJYQQbSRcXaXaglVubi7r1q0jOrrz5IZn0y1wwoQJZGVlBa1fvXo1EyZM6Hb/CRMm8Ktf/QqPxxP4BbV69WoyMjKIjIwMbLN27dqge7c6lpuWlkZ8fDxr164NhKnGxka2b9/Oj3/849O/CUIIIXqGqwmOrIR970He+vbR+zRaSJuCMuxuvjJPYtneBj5/txy3Lzdo9zCznrF9I1tbpqIYkWzDbNCdc3VUVeVA9QGy8rP4rOAzqh3V6Hwq6eUwrjKUCVURxB2vhYZ8IJ9AO5lWi2lwBtbWIGUZPbrT5Lqn+70ohBASrq5CHo+Hu+++m5ycHD799FN8Pl/g/qSoqKjAABNn0y3w4YcfZsmSJTz55JM8+OCDZGdn895777Fy5crANkuWLOHjjz9m7dq1ANx33308//zzfP/73+epp57iwIEDLF68mFdeeSWwz6OPPsrUqVN5+eWXmT17Nu+88w47d+7kL3/5C+BvNXzsscf4z//8TwYOHBgYij0xMZE77rgjUE5RURG1tbUUFRXh8/nYs2cPAAMGDCBU+sELIcTZ87rg+Bp/C9XRVcEDUSSNgeHzqEqdxXtHPby7ppii2sOB1Qk2M+Pauvj1iyIjLgztWdwvBaCoCvWueqrsVVQ7qqly+J8rWirYWrqVqupCBp1UuemkyrASHQNKQefxAQ2tD9CYzVhGjMAyZjTW0WOwZI5EFxbWA2+OEOJqJeHqKlRSUsKKFSsAOnWdW7duHdOmTTvrMtPS0li5ciWPP/44ixcvJjk5mddffz1oGPbq6mpOnDgR+Npms/HFF1/wyCOPMGbMGGJiYvj1r38dGIYdYOLEibz99tssWLCAX/7ylwwcOJDly5cH5rgCePLJJ2lpaeGHP/wh9fX1XH/99Xz22WeBOa4Afv3rX/OPf/wj8PWoUaPO63yFEOKqpChQuMUfqA79G5z17euiB8Dw+Xiv+QbrqsN5d0cR2f8+gKL6V4eZ9Nw+KpFvjk1leLKt20N4FS+1zlp/WLL7Q1Pb60pHZWBZjbMGr+Jvc9L5VFKqIL1cJa1c5ZFSlb6VoFUDpfq3i4wMBCnrmNGYhwyR+6SEED1KwtVVZP369YHXqqp2v+E5mjZtGrt37+52/cKFC1m4cGHQshEjRrBp06bTljtv3jzmzZvX7XqNRsNvfvMbfvOb33S7zd///neZ40oIIc6FqkLZXn+gOvARNJW2rwtLgGF3wfB5FBoH8N6uk7z/WiGVTa7AJuP6RfLNcanMGh6PSa/haN1R1hTu8IemU1qdquxV1DprUen+d5TB4w9OIypU0stVBlTqSKr0oe88jzCG1FSso0f7A9WYMRjT0mTIcyHEBSXhSgghhBCd1ZyAAx/676Oq6XCPlNkG19wOw+fhTLyOL45U825WEVuObwhsEh1i5K4xycwfm0KszcfW0q38dvuf2FKyhTrX6SfUBdBqtESbo0nURDK41kxauUpCiZ3IwjpMxdVogkbw87dKaW02zNcMwXzNNViGD/ffL9WnT0+9G0IIcUYkXAkhhBDCPyhFdS4Ub/e3UpXsal+nN8OgW2DEfBgwnaPVbt7ZUcTHb66n3u4f4EGjgckDY/nm2GTSE5vZVr6Z3+56kb1Ve/Gp7c1KYYYw0iLSiLXEEmOJIdYSS6w1llivhZjiJkLyK9AeK8B16DDugsP+lrNT6KKjMQ+9BvM1bY+hGJISpVVKCNHrJFwJIYQQVwtVhaYyqDrqD1LVx1ofucHd/cA/0l/6DTB8HgyeTYvGyqf7SnnnLzvZXVQf2CzRZubOMX3on1rOofov+OOxTZTuDi6rv60/U5KnMDl5Mpl9MtHUNeI8dAjnnkP+50OH8Jw8CUDLKVXWx8d3CFHXYB56Dfo+fSRICSEuSRKuhBBCiCuN1wW1ecHhqe3Z3dz9fiF9oM9gGDwHht6JGhLL3pMNvLOygE/2lgbmo9JrNUwerCe9XzHl7hzeK/8KZ1n7aIFGrZFxCeOYmjyVyUmTSTL1oWXHDpr/sorC9U/jKS3t8vCG5OTWADW0NUwNQd/FVCFCCHGpknAlhBBCXK7stZ1boKqPQV1B+1xTp9LoICodYgZBzMDW50EQMwAs/jkG6+1uPt5dwrs7jnCkvKl1R4Xk+Cr69yuiTt3Lzsbj7MxvLzbOGseU5ClMSZ7C+PjxmN0qzZs20/TXP3Js/XqUpqYOddBg7NcvqDXKPGQIOlv3owgKIcTlQMKVEEIIcTmoK4QT2VC2B6paw5S9uvvtTeEdwlPbcwZE9gN98PDjdreXYxXNHC0vYsvxGj47WI7bq4DWjiUyl+TEApq0B2nwNpLjnyIKrUbLiJgRTE3xt04NihyEr6aGpnXrqFnzBC3btqG63YFj6KKjCbvxRkJvuhHr2HHoQkN6/j0SQoheJuFKCCGEuBS5miB/kz9QnciG2hNdb2dL6SJEDYLQOP8oEx34FJWCmhaOltdwpLyJo+WNHC1vorDW3jpuhBetqQq97SjRUbl49PmoKJQrgALhxnAmJU1iSvIUrk+8nghzBO6iIpqWr6VwzW9w7N4dNACFITWVsOnTCZt+E5aRI9HodBfs7RJCiEuBhCshhBDiUqD4/K1SJ7LhxDr/qH2tk+QCoNVD8njoOxFiB/uDVPQAMIV2KkpVVaqaXRwtb+JoeRMHSqs5XHWSwvpyvJoGNPomNPomtPpGNNYmLOGN6AzNoGsfTqKtzWlAxIBAd7+RsSPRaXQ4Dx6i6c//IG/NWly5uUHHNg8bRtj0mwi76SaMAwbIwBNCiKuKhCshhBCitzSc9AepE2shbz04TpkDKiod+t/of/SbDObwwCpVVWn2NFNUlcue0iIOV5aQV1dGaVMlta4qPDS0ByidC8LAEAaGr6mSWWdmXHzrYBTJk0kMTUT1eLDv2kX1ay/RtHYt3rKy9h10OqzjxxF203TCbroRQ0JCj709QghxuZFwdRWZNm0amZmZLFq0qLerIoQQVyd3CxRsae/qV300eL0pHNKmtAeqqDTAH6T2VR7kX19+zIHqg9Q6q2nx1aHg7nwMvf9x6i94g8ZEtCWG+JA+xFrb55dqm2sqxhJDrDWWCFMEWo0WxW6nefNmStcupmn9BpSGhkBZGouF0OuvJ+zm6YROmYIuIqJH3yYhhLhcSbi6Cnk8HhYsWEBWVhZ5eXnYbDamT5/Oiy++SGJi4jmXu379ep544gkOHjxISkoKCxYs4P777z/tPvv27eORRx5hx44dxMbG8tOf/pQnn3wyaJv333+fZ599loKCAgYOHMhLL73ErFmzAus/+ugjli5dyq5du6itrWX37t1kZmae83kIIUSPURSo2N8epoq+BF+HQKTRQtIY6H+TP0wljaHBpXK8qpkTec0c2LqVXTVrKfFuwqcv6/IQqs+EVrERoosiyhxNYlgc/SMTGNwnicTQOGJag1SoIbTbLnqqquKrr8dzopTGI+toWptNy5YtqC5XYBtdZCShN95A2E3TCZk4Aa3Z3KNvlRBCXAkkXF2F7HY7OTk5PPvss4wcOZK6ujoeffRR5s6dy86dO8+pzPz8fGbPns3DDz/MsmXLWLt2LQ899BAJCQnMnDmzy30aGxuZMWMG06dPZ+nSpezfv58HH3yQiIgIfvjDHwKwdetW7r33Xl544QXmzJnD22+/zR133EFOTg7Dhg0DoKWlheuvv5758+fzgx/84NzeFCGE6CEmTz2afe9AwQZ/l79TR/SzpaL2v5Ga+EkctoziaL2OE1UtnFjVTF7VOqpbWtCHHsYQsQtdyDE0GhX0oCp6sA8jTj+G9IgkhvRJYnRiKsOTYokONZ22TorLhaeoCE9ZGZ7SMjxlpXjKyvCWlvmXlZWhOp2d9jMkJxN2002E3Twdy6hRMiCFEEJ8DQlXPUBVVVSH44KUrSgKisOBoteDVhu0TmOxnNONwjabjdWrVwctW7JkCePHj6eoqIjU1NSzLnPp0qWkpaXx8ssvAzBkyBA2b97MK6+80m24WrZsGW63mzfeeAOj0cjQoUPZs2cPf/jDHwLhavHixdxyyy384he/AOC3v/0tq1evZsmSJSxduhSA73znOwAUFBScdb2FEOK82WuhcAvkb0Kfv5Fbqg7DgfbVPkMIVdHjOWQdy2ZlONvqI8n7qgWXVwGOtW6lorUUYbDlEJq4F42uPegkmgdzQ9KtzBt8G+nRMZ1+7quqire2NhCavIEA1fooLcVXfZoh2zvQxcZgTEomZPL1hE2fjmnQIBmQQgghzoKEqx6gOhwcHT3mgh6jootlGTm70FitPVJ+Q0MDGo2GiA795ocOHUphYWG3+0yePJlVq1YBsG3bNqZPnx60fubMmTz22GPd7r9t2zamTJmC0WgM2uell16irq6OyMhItm3bxhNPPNGp3OXLl5/5yQkhRE9yNkLhVijYBPkboXw/4B9+XAMoaCgwDGSTMpyV9mvY7RyIp6njr1v/ZLpGnZbUPm7MUbup02yj0Vca2CI+JJ7b0m9jbv+59LP1A0Bxu2nesAHnwYN4SoNDVMfue93RmM0YEhIwJCSgT0zAkJiIISHRvywxAX18PFqj8WvLEUII0T0JVwKn08lTTz3FvffeS3h4+0hUWVlZeDyebvezWCyB1+Xl5cTFxQWtj4uLo7GxEYfDEbRtx33S0tI67dO2LjIysttyy8vLz/wEhRDifLhboGgb5G9Cyd+Epmw3GlUJ2uS4ksg25ZrAo87Z/rM0wmpgQGwo/WND6d8nhOQoHZW+nWwu/4yvyr9CVfzBzKK3MD11OnMHzGV8/Hj/oBJuN03Z62j6/DOa1majNDd3W01dbIw/LCUmBkKUITEBfYI/SOkiIqQVSgghLjAJVz1AY7GQkbPrgpStKAqNTU2Eh4Wh7aJb4PnyeDzMnz8fVVV59dVXg9b17dv3vMsXQojLjseBWrSd5qPrUPI2ElqzD53qn2+q7adwvhLHNuUavlSGsk0ZQhWRxIebGRQXQmZzFdPHX8OgBBv9Y0OJCjGiqAq7Knax4sT7/HXvF9i99sDhxsaNZW7/uczoN4MQQwiK203Lug1dBip9bCwh11+PISVZWp2EEOISJOGqB2g0mh7rnteJoqD1etFarZ3C1flqC1aFhYVkZ2cHtVrB2XULjI+Pp6IiuPNiRUUF4eHhXbZanW6ftnWn26ZtvRBCnK/G5mZKDmzCfXwD4WXbSG45gAEvYR22OanGsM3nb5XaZxhBeHw/MuLDGRMfxrfiw8iIDyPCasTj8ZCVlcWssckYDAaKm4p5Z88nrDixgpLmkkB5yaHJzB0wl9vSbyM5LNkfqDZtoeSzVTRnrwsOVH36EDZzJuG3zPQPKtHDvwuEEEL0HAlXV6m2YJWbm8u6deuIjo7utM3ZdAucMGECWVlZQetXr17NhAkTut1/woQJ/OpXv8Lj8WAwGAL7ZGRkEBkZGdhm7dq1QfdufV25QgjRFVVVya1s5khJDQ0ndhBSsoWUxl0M8x1hiCZ4vqgyNYrtyjWcCB1FU/xEYlMHkREXxuPxYSRHnn4wIafqZPmJ5Xya/yk5lTmB5SGGEGb2m8nc/nMZ3Wc0qttNy5YtlHz2RwlUQghxiuY6F001DhIGRPR2Vc6KhKurkMfj4e677yYnJ4dPP/0Un88XuIcpKioqMMDE2XQLfPjhh1myZAlPPvkkDz74INnZ2bz33nusXLkysM2SJUv4+OOPWbt2LQD33Xcfzz//PN///vd56qmnOHDgAIsXL+aVV14J7PPoo48ydepUXn75ZWbPns0777zDzp07+ctf/hLYpra2lqKiIkpL/TeDHz3qn5QzPj5eWriEEPgUlY079nB047tkNG7lJu0RQjQdBoDQQC02cq2jqO1zLfr+U0juP5xb+4Ri0nc99LiqqjS6GylvKaespSzwKKgvYHPDZjzbPa1Fa7gu4TpuH3A7N6beiMmnpWXLFkr/5ymas7NRWloCZer79CHslpmE33ILlsxMCVRCiKtSS4OLnM8LObixFEu4gW//ZgI6/eXz81DC1VWopKSEFStWAHSabHfdunVMmzbtrMtMS0tj5cqVPP744yxevJjk5GRef/31oGHYq6urOXHiROBrm83GF198wSOPPMKYMWOIiYnh17/+dWAYdoCJEyfy9ttvs2DBAn75y18ycOBAli9fHpjjCmDFihU88MADga/vueceAJ577jkWLlx41ucihLgCqCru8sMcXf8vDLmruEHJ5QaA1qzUorNRHTMOtd9koodOJyplKNd2aI3yKB4q7eWUNZcFhaeyljLKm/2BquN9U6fqF96P2wfczpz0OfTRR9KyeTO1rz7XOVDFxRE2c4YEKiHEVc/R5CbniyIOrD+J1+MfNCgs0oy90U1Y1OUzabmEq6vI+vXrA69VVe3x8qdNm8bu3bu7Xb9w4cJOYWfEiBFs2rTptOXOmzePefPmdbv+/vvv5/777z+bqgohrkSKAid34D74CY59/8bmKGJ42yo0lIWNIGLU7ViH3Iw3IgWHo4Ky5jK2tuyjfNcXQQGqyl6Fytf/nIwyRxEfEk9CSAIJIQnEmmOx59p5aPr38Hz1FY3//AO53QaqW7FkjpRAJYS4qjmbPexeU8S+dSfxunwAxKWFc+1t6SQPibzsRjmVcCWEEOLy5XX555o68inK4ZVo7VUYASPgUvXs0I5EzZhF8uQZrKrazOrC1ZRkv4vD+/UTvxu0hkBoig+JJyG0w+vWZ4vef++pqih4iotp2X+AYx+8RcF//R21Y6CKjyd85gzCZt4igUoIIQCX3cOeNcXszS7G4/SHqtjUMMbflkbfYdGXXahqI+FKCCHE5cXZALmr4cin/me3fyAILdCoWslWMtkTcj1Dp9xBXEo9Hx//gHVrv4tP9QUVE2WOCg5PIQlBASrKHIVW0zkEeWtqcB06huPYRuqOHcN1LBfX8eOoDn9gC8c/pXAgUN1yC5aREqiEEALA7fCyN7uYPWuKcTv801xEJ4Uy/rY00kbGXLahqo2EKyGEEJe+xjI4mgVHVvpbqpT2kUzL1UhW+8bwuTKOlvhr+dbkRPoZvuQfuU9RmNs+ncSYuDHMGzSPodFDiQ+Jx6w/fR9+xeHAcfwErmPH/I/cYziP5eKrru5ye43RiLF/OuXRMQz70Y8IGzNaApUQQrRyO73sX3+S3auLcLX4Q1VkQgjj56TRf1QsGu3lHaraSLgSQghxaarOhcOf+ANVyc6gVaWGVD52ZPKFbyz71HQmDIhh1mgvR+yf8+LBz3D5/KMBhhhCuC39NuZnzGdg5MAuD6P6fLiLivwtUG1B6tgx3EVF0NX9qRoNhpQUTIMGYh40CFPrw5iaildV2Z+VJV3/hBCilcft48D6EnK+KMTZ7P/DWESc1R+qxvRBe4WEqjYSroQQQlwaFAVKc/zd/Y6shOpjQasbozP51D2a16uvIc+ZiEYD04dE8mjGCbZWvslL+w8Hth0cNZj5GfOZnTYbq6F9kndvTQ2uo0dxtnXnO3bM36XP6eyySrrIyEB4Mme0BqkBA9B2N3H8aeYGFEKIq4nX4+PgxlJ2fV6Io9E/l2B4rIXxs/sxcHz8FReq2ki4EkII0Xu8bijY1BqosqC5vH2d1oCaNoX9YZP574J0Npf4f2XptRpuzdRgi9vJxtJVfHmkCQCj1sjMfjOZnzGfkbEjA/32FYeDpi++oP79D7Dv3NmpCgAakwnTgAGBINXWKqWLufz7/wshxMXk8ygc2lLKrlUFtDT4Q1VYtJlxs/uRcW08Wt2V3aov4UoIIcTF5WpqHZBiJeR+Aa7G9nXGMBh4M55Bt7K8aSh/2lZJwUH/fFIWA0zOLMdu3sTm6l3QejtVcmgy8zPmc8eAO4g0RwaKch4+TP37H9DwyScoTf4AhkaDITXF351v4CBMGRmYBg3EmJqKRtf1hMFCCCG+ns+rcGRbGTuzCmiu83fNDo00MXZWPwZPSLisJgI+HxKuhBBCXHjNle0DUuStB5+7fV1IHxg8CwbPoSlhAm/vquCvn+ZT2VQAgC2smRFDjlDkWce25hpoBq1Gy9TkqXwz45tMSJwQGNXP19xM46efUv/+BzgPHgwcwpCURMTdd2H7xjcwxMVdxBMXQogrm+JTOLq9nB0rC2iq8XexDrEZGXNrP66ZlIjOcHWEqjYSroQQQlwYNSf8YerISijeDh0n5Y3qjzp4DrUpN7NfM5CjFS0czWlizeEtNDq9gEJsn0KSUvaQ79jBniYFgBhLDN8Y+A3mDZpHfEg84J8U3Z6TQ/37H9D42WeBIdE1BgNhN08n4u67sV53nQwwIYS4JDhbPDRWO/B5VUJsRqw2I3rD5ddyrigquV/5Q1VDlf/nriXcyJiZfRk6ORG98fI7p54g4eoqMm3aNDIzM1m0aFFvV0UIcSVSVSjbA4dbB6SoOhy0uiVmJLlRU9mkHc+m+miObmumIbsR2NW+ka6FhNT9GCK3U+cu44S/RyDj48czP2M+N6beiEFrAMBbW0vD8n9T/8EHuPPyAkUYB/Qn4u67sd1+O/rISIQQ4mJSFZWWBjeN1XYaqhw0VDpoqHbQWOWgocqBy+7ttI/JqscabsRqM7UGLlMgeIWEm/zPNhMGs+6C3weqKCouuwdnswdHs//Z/9od9HVdeQuN1f6WKnOogdEz+jJsWhKGqzRUtZFwdRXyeDwsWLCArKws8vLysNlsTJ8+nRdffJHExMRzLnf9+vU88cQTHDx4kJSUFBYsWMD9999/2n327dvHI488wo4dO4iNjeWnP/0pTz75ZGD9wYMH+fWvf82uXbsoLCzklVde4bHHHjvnOgohepjPA4Vb2luoGkvaV2l0HDWN5DPfGN5vGkHZyWg42ba2DgCdzkdSXDURkSX4jCcode2jWfWAG8IMYcwdMJf5g+aTHpEOgKooNG/eQv0HH9C0dm1gdD6NxUL4rbcSMe9uLJmZMgiFEOKC8nkVmmqc/vBU1RqcqltfVzvweZTT7m8JN6I3aLE3uPF5FVx2Ly67l7py+2n30xu1geAVYmsPXaeGMFOIHo1Gg6qquB3eU0JS6+sWd9fL7Z6gjganYwrRM+rmVIZPS8ZollgBEq6uSna7nZycHJ599llGjhxJXV0djz76KHPnzmVnNyNpfZ38/Hxmz57Nww8/zLJly1i7di0PPfQQCQkJzJw5s8t9GhsbmTFjBtOnT2fp0qXs37+fBx98kIiICH74wx8G6pqens68efN4/PHHz/mchRA9yN2CenwNjv0rMJxYjcHdEFjVoprYoIzkc99Y1imZNDpCA+viwk30j9cTFVmCz5hPlfcw+Y1HqFPc1ClA62joQ6KGcM/ge7il3y2BYdQ95eXUf/QRDR98iKe0NFCmefhwIu6+m/DZs9CFth9LCCHOl+KF6pPN2Os8/hDVofWpudbZ5TR4bTRaDWFRJmyxFsJjrdhiLK2vLYTHmANBRFVVXHYv9gY3LY0u/3OD/9ne4KKlwY290b/M4/ThdSs0toa509HqNRjNetx2L4pyhknpFCarHnOIAXOoAUuo/9kcagy8toQZSRoYgdEicaIjeTd6gKqqeN2n/wvFuVIUBa/bh8flQ6sN/s+hN2rP6a+zNpuN1atXBy1bsmQJ48ePp6ioiNTU1LMuc+nSpaSlpfHyyy8DMGTIEDZv3swrr7zSbbhatmwZbrebN954A6PRyNChQ9mzZw9/+MMfAuFq3LhxjBs3DoCnn376rOslhDh/qqqSV1ZD1fZ3ichfSXrjDoy4aZvpqVoNZ41vNF8oY9miDENvtDAoOYzZ8eEkRjtQTPlUe45wsG4vB+qOozYG/yyLMkcxus9oRvUZxfiE8WREZvj/4urx0LRmDXXvv0/Lps3+ebAAbXg4tttuI2Le3ZgHD77I74YQ4kqiKipNtU7qKuzUlbVQV2GnvtxOXXkLjqYwPlq9u9t99UatPzC1Bqe28GSLtRAaZUZ3BkOOazQaf4AJMRCVGHLabT0uXyB4BQJYo4uW+tavW0OYq8WL4lUDE/YC6E06LKcEJUuosTUwdQxP/uWmEP0Z1V90JuGqB3jdCn95dMNFP+4PF0/FYOqZfq0NDQ1oNBoiIiICy4YOHUphYWG3+0yePJlVq1YBsG3bNqZPnx60fubMmaftwrdt2zamTJmC0WgM2uell16irq6OSLlXQohe4fYqHChtYGdBLbnHj5FR/D53Kl/QX9MU2KZIieULdRwHwybjTRpHRkIE34wL5f6QKkodh9hdtY6dlTmUF5R3Kr9veN9AmBodN5rUsNSgPxS5Cwqo//BD6j9ejq+6OrDcOn48EfPuJuzmm9GazRf2TRBCXFE8bh/1HYJTXYWdunI79RX203bhM4fqscVauwxQ1nDjRe2CbDDpiOhjJaJPN5OYt/J5FFoaXbgdPswh/tanq3Vwid4g4UrgdDp56qmnuPfeewkPDw8sz8rKwuPxdLufxWIJvC4vLyfulOGN4+LiaGxsxOFwBG3bcZ+0tLRO+7Stk3AlxMXR5PSQU1TPzoJadhTUsqe4jmu8R7lf/zkPaL/CoPGBBqq1sRxOuB3XwNkkDBzN/Bgjx+uPkFOZQ05FDm/v20OTuymobJ1Gx5CoIYyKG8XoPqPJ7JNJjCWmUx08FRU0b9hA4yefYt+xo33/mBgi7ryDiLvuwtiv34V+K4QQZ8nnU3A0uv3d19q6sTW48LoVjBYdRove/zDrMVn9r02BZboenVBWVVUcTf6BFurKOwSpcjtNtc5u99PqNUT0sRIZbyUyPoSIOCthMUa2797EnNtnYTAYeqyOF4POoCU8uvPnLnFxSLjqAXqjlh8unnpBylYUhaamRsLCwtGeMoyw3nj+P5A8Hg/z589HVVVeffXVoHV9+/Y97/KFEJee8gYnOwpqW8NUHUfKG1FUMOJhlnY77+o/Y6SpffS9prjxmK9/BEP/KSg1+9lfmcM/9/2dA9UH8CjBf4Cx6C2MjB3pb5mKG8WImBGB+6Y6Un0+nPv307RhA80bNuA61GFkQa2WkMnXEzlvHqFTp6K5zD7YCHEl8Hp8rd3PgkNTS6Mbe33bvUAuHM1nPvhBV/QmHSZzewgLBK/A16cEtNbXWr2GhkoH9RXtAaq+wt7lSHxtTCF6ouJDiIy3EtH6HBlvJSzaglYb3ALl8XjQHjj38xJXLwlXPUCj0fRY97xTKYoGvUuHwaTrFK7OV1uwKiwsJDs7O6jVCs6uW2B8fDwVFRVB6ysqKggPD++y1ep0+7StE0KcP0VROVHVzI6COn+YKqyluDb4RuhY6vmP0A3cpa4m3FcLgKozwbC7OT50Fhtc5Ww6+TF7dj+HogZ3n4k2RzM6bnQgTGVEZqDXdv2rxdfYSMvmzTRv2EDzxk346uraV2o0mEcMJ+yGG7HdPhdDQkLPvhFCiICWBhf1FfYO9+8EByh7o/u0IeVUGq0Ga7gxMIS41WbEYNThdnpxO/wPl8MXeO12ePG2dsXzunx4XT5aGtxfc5QzrIsGwmIs/uAU19oS1RqiLKHGry9AiPMk4eoq1RascnNzWbduHdHR0Z22OZtugRMmTCArKyto/erVq5kwYUK3+0+YMIFf/epXeDyeQJP76tWrycjIkC6BQpwjl9fHgZLGQMvUzsI66u3B/4+1GrgmMZy5MeXMsq8gqWQVGq9/G2dYAl8NncnGkFA2VuygbNszQfv2C+/H6LjW+6X6jCYlLKXbew5UVcV94oQ/TK3fgD0nB3y+9nqEhRFy/SRCp04ldMoU9FFRPfxuCCE6Ks9rYM+aIvJ2V512pLs2OoPWH5jCTUHBKWgepnATllADGu3Z3Xvk8yodwpcPl6NjEPMGBTGXw4fb6R+qvG2Zz6sQHmMhIq69O19kvBVbH8tlOSGvuHJIuLoKeTwe7r77bnJycvj000/x+XyUl/tvOo+KigoMMHE23QIffvhhlixZwpNPPsmDDz5IdnY27733HitXrgxss2TJEj7++GPWrl0LwH333cfzzz/P97//fZ566ikOHDjA4sWLeeWVVwL7uN1uDh06FHhdUlLCnj17CA0NZcCAAef9XghxuXN6fOwuqmdbXg1f5tWwt7gelze4dcls0DIqJZJx/SIZlxrGOMdmzLsWwdGvACjT6diYOoyNUXFsby7CVZEd2NekMzE+fjxTkqcwOXkySaFJp62P4nJh/+ormtetp3nDBjwlJUHrjf37EzptKqFTp2IdNUq6/AlxgSmKSsHeanavLqI8r33aBFsfCyG2U0NT8HxJJqv+gg3YoNNrsYQapTVJXHEkXF2FSkpKWLFiBQCZmZlB69atW8e0adPOusy0tDRWrlzJ448/zuLFi0lOTub1118PGoa9urqaEydOBL622Wx88cUXPPLII4wZM4aYmBh+/etfB4ZhBygtLWXUqFGBr//nf/6H//mf/2Hq1KmsX7/+rOspxOXO7VXYd7KebSdq2JZXw67Cuk5hKjrEyNh+kYzrF8XYflEMTQzH4KiBXX+HlX/F21TGLpOJjVFRbIzsw3HFDjRCQyMA8SHxTEmawpTkKYxPGI9Ff/oboz3l5TSv99871fLll6iO9m6HGqMR67XX+lunpk3FmJzc02+JEKILHpePI9vK2LO2ODAnklavYdD4eDJvSiE6SeaFE+JCkHB1FekYRtQz6Q9wlqZNm8bu3d3PB7Fw4UIWLlwYtGzEiBFs2rSp23369et3QeoqxOXC61M4UNrI1hPVbDtRw86COhweX9A2sWEmJqRHM6F/NNemRZEWE9L+1+ayvfDJn6k/+CGbjVo2Wi1siUqhsa0Lj2JHq9GSGZvJ5OTJTEmewsCIgaf9a7Xq8+HYu8/f3W/DBlxHjgSt18fFBcJUyHXXobWefthgIUTPaWlwsX/9SQ5sLMHV4r9vymTVM2xKEsNvSCbEZurlGgpxZZNwJYQQlxCfonK4rDHQMvVVfi3NruAby6NCjFyXHsWE/jFMSI+mf2xIcBjyeVEPf8Kxr5awseEYG60W9iXFonTYxmayMSlxElOSpzApcRIR5ojT1ktxuWhet46mtdm0bNqEr76+faVGg2XkSEKnTSN02lRMGRkXde4XIQTUlDazZ00xx74qR/H6/ygZHmsh86YUBk9IuGADbwkhgkm4EkKIXqQoKscqm/xh6kQN2/NraXAED0Bhsxi4Ni2KCf39rVOD+oR1GjYYwNFYyvat/83GwjVs1Puo0OshKiKwfmDkQKYmT2VK8hSGxwzvdlS/Nqqq4tizh4bl/6YxKwulqX0OK214OKHXX+9vnZo8Gb0MQiPERaeqKieP1LFnTRFFB2sDy+PTbWTenELayNguf1YIIS4cCVdCCHERqarK8cpmtp2obh2EopbaluAhiENNesanRQW6+g1JCEfXzQckn6OebbuWsiL/U7K99bi0GjBrAD1mjY5r48Yypd8MJidNJiH0zIY395SW0rBiBQ3L/427oCCwXJ+QQPisWwmbNg3LqFFo9PIrRIje4PMqHN9Zwe41xdScbAb8Q5CnZ8aSeXMq8em2Xq6hEFcv+c0ohBAXwf6SBv5xTMt/7t9AVXNwmLIYdIzrEKaGJYaj151mXjtXEyf2vsW/j73PSlc5lfrW7j5aDUmKlsmxmUwZ/l3GJU3CrDefUf0Uu52m1aupX74c+5fbaRunWWOxED5jBrY778A6fjyaHp5vTwhx5lx2Dwc3lbIvuzgwL5TeqGXIpERG3piCLfb0g88IIS48CVdCCHGBfbK3lJ+/vxe3Vwu4Mem1jOkbGQhTI5IjMOq/JrS4mqg/+BGrDr/Nv1sKOWhqHcJcr8OmwKywAdw+7HtcM2juGQcgVVGw79xJw8fLafr8cxS7PbDOOn48tjvuIGzGDHShIed45kKIntBY7WBvdjGHtpThdfkHtLHajIy4IZmhk5Mwh8iUBkJcKiRcCSHEBaKqKv+3/gS///woAEMjFZ65czxj02Iwn8kkl64mPEdWsvnAW6xoPMp6iwmvRgMmA3oVrrckcsfgbzJl6Lcx6M98rhh3URENy/9Nw7//HTQPlSE1Fdsdt2ObezvG5NPPZyWEuPDK8xvYs7qYvN2VgUl/oxJDGHVzKgPHxqEzSEuyEJcaCVdCCHEBeHwKCz4+wLs7iwG4f0IqI9U8rk2LwnC6YOVshGOfcWT/v/h37V6yQszU6nRg9XfvG2KIYG7/27h1+INEW2POuD6+5maaPvuM+o+X49i1K7BcGxpK+K23YLvjDiyjR8sof0L0IlVVcTR5KDtRz961xZQdb5/0N+WaKDKnp5AyJEr+nwpxCZNwJYQQPazR6eE/3sph8/FqtBp47rah3DcuiaysvK53aA1U1QfeZ2XlDlZYTRwzGSHc3x0vWmtmdsqNzB3xIBlRGWdcD9Xno2XblzQsX07TmjWoTqd/hUZDyMSJ/m5/029Ca5H7NIS4mBSfQmO1k7oKO3VlLdRV2Kkvb6Gu3I7L3j71glanYdC4OEZOTyUmWSb9FeJyIOFKCCF60Mk6Ow/+fQfHKpqxGnUsuW8UNw6Ow+MJHl4dZyMcXYX74EesL93KihATmy1mfJFhABjQckPcOG4f+h0mJk362mHTO3Ll5dHw8XIaVqzAW1ERWG5MT8d25x3Y5s7FEBfXI+crhOie2+ENCk51FXbqyu00VNpRfGrXO2kgPNrMgDFxjLghmZAImfRXiMuJhKuryLRp08jMzGTRokW9XRUhrkj7Ttbz/X/spKrJRVy4ib9+bxzDktqHRNb7HGj2v4d65BMOFG/k31Yjq0KsNMZGBLYZYRvA3MHf5Ja0W7GZznw4ZW9NDY2ff07D8n/j3LcvsFxrs2GbPQvbHXdgHj5cuhMJ0cNUVaWl3uUPT20hqtwfqNpG9OuK3qAlIt5KZHwIkfFWIuL8ryP6WNAbZcJfIS5XEq6uQh6PhwULFpCVlUVeXh42m43p06fz4osvkpiYeM7lrl+/nieeeIKDBw+SkpLCggULuP/++7vd3ul08vDDD7Nr1y4OHz7MnDlzWL58+TkfX4je9MXBcn72zm6cHoXB8WH87YFxJNhau9u5mtCufp5Rh/7B3wvNrAgNIT8+OrBvH1MUtw28k7kD5pJuSz/jY3pramhavZrGzz7H/tVXoCj+FTodoZMnY7vjDkJvvAGt8cwHuxBCdE9VVMpPNNB43Ej2P47QUOnv2tc2gl9XrOFGf3iKDyEyztr62kpYpBmNTPArxBVHwtVVyG63k5OTw7PPPsvIkSOpq6vj0UcfZe7cuezcufOcyszPz2f27Nk8/PDDLFu2jLVr1/LQQw+RkJDAzJkzu9zH5/NhsVj42c9+xocffng+pyREr1FVlTe2FPCfKw+hqjB1UCx/+tZoQk3+H68n9/2LdZv/k2ytm13JcaitLUdmrZGb+t7M3AFzuTb+WnTaM/tLdbeBCjAPHUr4bXOwzZmDPubMB7sQ4mJorHZwYEMJx3MqCYsykzYyhvTMWMJjLu17/lRFpSyvgeO7KsnLqWxtjTLRSFVgG41Wgy3WQmS8tfUR4m+VirNissow6UJcTSRc9QBVVfG6XBekbEVR8LiceJxGtKfMXaM3mc6pi4/NZmP16tVBy5YsWcL48eMpKioiNTX1rMtcunQpaWlpvPzyywAMGTKEzZs388orr3QbrkJCQnj11VcB2LJlC/X19Wd9XCF6k9en8JtPD/HPbYUAfOvaVBbedg0nGnPJ3vsp2Uff56hihxAt4B/tb1TsKO4YeAcz+s4g1HhmN6gHAtWqz7Dv2BEcqIYNI/yWmYTNnIkxJaXHz1GI86GqKqXH6tm37iT5e6sCw4k31Tgpza1nywfHiU4OJX1kDGmZscQkh14SXVdVRaXsRAPHczoGKj+DWYc+0snwsQOJTgojMt5KeIwF3dfNVSeEuCpIuOoBXpeLP37v7ot+3J/94wMMZnOPlNXQ0IBGoyEiIiKwbOjQoRQWFna7z+TJk1m1ahUA27ZtY/r06UHrZ86cyWOPPdYj9RPiUtPi8vLTf+0m+0glGo2P704Da2QWt/37/1HSXBrYTquqjDHFMHXIt1DzDHzr5m9hMHz9X7K91dXtLVQSqMRlxuv2cWxHBfuyT1JT0hxYnjIkkqGTk2iud5G/p4rS3HpqTjZTc7KZHSsLCIs2kz4ylrTMGBL629DqLl5g6RioTuRUYu8QqIwWPWkjYxgwug/xA8L4fPVnZM5IOaP/y0KIq4uEK4HT6eSpp57i3nvvJTw8PLA8Kyur8whnHVg6DN9cXl5O3Cmjj8XFxdHY2IjD4QjaVojLXXmDk/v/voXjTbsISTpMaOQxPipvhHL/epOiMNHh5CZ9JFOm/w+R6dPweDxkFWadttzTBqrhw9sDVXLyhTw9Ic5ZU62TAxtKOLi5BFeLf0hxvVFLxnUJjJiWTFRiSGDbkTem4Gh2U7i/hrw9VRQfqqWpxsne7GL2ZhdjDjHQb0Q0aSNjSb0m6oIM8hAIVLsqObG7m0A1pg8pg6MCE/ae7veiEEJIuOoBepOJn/3jgwtStqIoNDY1Eh4W3mW3wPPl8XiYP38+qqoGuui16du373mXL8SVpMHVwNv7P+PPO1fgDT+MJcL/IcvuA5vOzNTGBm5sbmSCy4d1yi9g0mOgP/1gEt6qKhpXr6bps8+x79wpgUpcdlTVH1D2ZZ8kb08VquLv+xcWbWb4tGSGTEzAHNJ1C48l1MjgCQkMnpCAx+2j+FAt+XuqyN9fjbPFw5Ft5RzZVo7eqCX1mmjSMmPoNzym2/LOhKKolJ+o5/iuqi4DVfrIGPqfEqiEEOJMSbjqARqNpse6551KURQMbjcGs7lTuDpfbcGqsLCQ7OzsoFYrOLtugfHx8VR0mE8HoKKigvDwcGm1Epe1suYysouzyS7KZmf5ThQUsIAGiLXEMyNuDDee2M7o/Bz/D9Tk8TD3f6HP4G7LDApUO3YQuBGFtkB1S2ugSrrg5yfEufJ6fOTuqGTfumKqi9u7/iVlRDDihhT6jYhBexaj4RmMOtIzY0nPjEXxKZQdbyBvbxX5e6ppqnWSt6eKvD1VaLQaEgfaSM+MJW1kLGFRX//7NxCodlZyYncV9kYJVEKIC0PC1VWqLVjl5uaybt06oqOjO21zNt0CJ0yYQFZWcJen1atXM2HChJ6rtBAXgaqq5Nbnkl3kD1SHaw8Hrfc540kwjOXFGfMZm5eNZsNL4HOBIQSmPwfjHoIuRv7zVlRg27aNkg8+xLFzZ3CgGjGC8JkzJVCJy0JLvYsDG0s4uKkER5P/d4TOoCXj2nhG3JBMdNKZDdRyOlqdlqSMSJIyIrl+3kCqTzaTt8cftGpKmik5Wk/J0Xo2vZtLbGpYYOTBqMSQwIAYiqJSdryeE7s6ByqTVU/aiNZANSRKBqMQQvQYCVdXIY/Hw913301OTg6ffvopPp+P8nL/zSJRUVEYW+fEOZtugQ8//DBLlizhySef5MEHHyQ7O5v33nuPlStXBrZZsmQJH3/8MWvXrg0sO3ToEG63m9raWpqamtizZw8AmZmZ53+iQpyFI7VH+PTEp2QXZ1PcVBxYrkFDtD6DkyX98TZdw10jRvLCdQqGT38K5fv9G/W/CW5bBBHtI22qPh+Offto3rCB5g0bcR0+TBzgaF0vgUpcTlRVpSK/kX3ZxZzIqUJp7foXGmli+LRkrpmUiDn0wgzuoNFoiE0JIzYljGtvS6ehykH+3iry91ZTdryeqqImqoqa+OqTfMJjLaSPjMHnUboOVCNj6D9aApUQ4sK5JMLVn/70J37/+99TXl7OyJEj+d///V/Gjx/f5bYej4cXXniBf/zjH5SUlJCRkcFLL73ELbfc0uX2L774Is888wyPPvooixYtuoBncfkoKSlhxYoVQOcQs27dOqZNm3bWZaalpbFy5Uoef/xxFi9eTHJyMq+//nrQMOzV1dWcOHEiaL9Zs2YFdT0cNWoU4P9FLsTFUO+sZ/HuxXx47ENU/N93Rq2RCYkTuD5xGp/viGLdfn8kenp6X36kvo/mjf8F1QeWSLjlRRjxTdBo8DU20rJ5sz9QbdyEr66u/UAaDY6UFJLnzyPy1lsxJEmgEpc+n0fheE4l+7KLqSxsCixPGGBj5I0ppI2Muagj+gHYYi1kTk8lc3oqjiY3+fuqyd9bTfGhWhqrHOxZ0/7HkbZANWBMHMmDIyVQCSEuuF4PV++++y5PPPEES5cu5dprr2XRokXMnDmTo0eP0qdPn07bL1iwgLfeeovXXnuNwYMH8/nnn3PnnXeydevWwAfzNjt27ODPf/4zI0aMuFinc0lbv3594PWFCC/Tpk1j9+7d3a5fuHAhCxcuDFpWUFDQ4/UQ4kwoqsLy48t5Zdcr1LvqAZieOp1b027l+qTraXHqeOifO9lbXI9Rp+WNG1xcf+i7UNv6B4Kh30C95UXcFU00v/EGzevWY9+9G3y+wDG0YWGEXD+JsGnTMF13HZ9/+SXDZ82S4ZvFJa+lwcXBTaUc2FiCo7X1R6fXMnB8HCOmJRObGtbLNfSzhBm5ZlIi10xKxO30Uny4loL9NWg1kD6qjwQqIcRF1+vh6g9/+AM/+MEPeOCBBwD/ZLQrV67kjTfe4Omnn+60/ZtvvsmvfvUrZs2aBcCPf/xj1qxZw8svv8xbb70V2K65uZlvfetbvPbaa/znf/7nxTkZIcRl4WjtUX775W/ZW7UXgAERA/jVtb9ibPxYAHIrmrj/b19SUu8gxeLmw4Ff0Gfz2wAolgTsyT+g+bCd5qXfwlNSElS2cUB/QqdOJXTqVKyjRqFpDVIyfLO41LnsHkpz6zmeU8nxnZUoPv8f4UJsRoZNS2bo9YlYwk4/+mVvMpr19B/Vh/6jOv9hVgghLpZeDVdut5tdu3bxzDPPBJZptVqmT5/Otm3butzH5XJhPmVkPovFwubNm4OWPfLII8yePZvp06d/bbhyuVy4XK7A142NjYD/w9CpH4g8Hg+qqqIoCkqHIZMvlLYWprZjiotHURRUVcXj8aDT9fz8Kh21fZ/JB/ALq9nTzKv7XuXdY++iqApWvZUfDf8R92Tcg0FrwOPxsPVEDT95Zy9NTi/32g7wG/0bsKeSulIrTS0DsOc1obpeD5SpMRqxjBuHdcoUQqZMxtBhyHQvwCnXVq7xle1yus5up5fyE42U5jZQlltPdXFzx3FWiEsLZ9jURNIyowNd/y6H87rQLqdrLM6dXOcr39lc47P5PujVcFVdXY3P5+ty8tkjR450uc/MmTP5wx/+wJQpU+jfvz9r167lo48+wtehK84777xDTk4OO3bsOKN6vPDCCzz//POdln/xxRdYrdagZXq9nvj4eJqbm3G73Z32uVCampq+fiPRo9xuNw6Hg40bN+L1ei/KMVevXn1RjnO1UVWVfZ59rHKsoln1Dxk9zDCMWy23Ysu3sTrf/75/Wanh3TwtUUo9/9fyOhlHj1NcZsZVH99aUjUAnvBwWoYMoWVwBvYBA1BbB4Fh3z7/4zTkGl8dLsXrrPjAXafDVaPDVavH3aAFNXiodH2IginKS0iKB4OtiaMVJRz9vJcqfIm7FK+x6Hlyna98Z3KN7Xb7GZfX690Cz9bixYv5wQ9+wODBg9FoNPTv358HHniAN954A4Di4mIeffRRVq9e3amFqzvPPPMMTzzxRODrxsZGUlJSmDFjRqe5n5xOJ8XFxYSGhp5x+edDVVWampoICwsLDC8rLg6n04nFYmHKlCkX/Fp7PB5Wr17NzTffLPfj9LC8hjxe3PkiOxt2ApAalspTY59iQoJ/mgCvT2HPyQY+23qU0g3rWVSxkYzKYhSXhhpa7yvRajGPGIF1ymRCpkzBOGjQWf9/lGt8dbiUrrPXo1BZ0EjpsQZKc+upLGgKdPVrExZtJnGgjcRBESQOtBEScf6T01/pLqVrLC4cuc5XvrO5xm292s5Er4armJgYdDpdl5PPxsfHd7lPbGwsy5cvx+l0UlNTQ2JiIk8//TTp6ekA7Nq1i8rKSkaPHh3Yx+fzsXHjRpYsWYLL5erUxctkMmEydf6FYjAYOr3ZPp8v8KGqpyf17UpbV0CNRnNRjieCaTSaLr8PLpSLeawrnd1j58/7/sw/D/0Tr+LFpDPxg+E/4P6h99N0sor1/1xB6Y49aHKP0re2mHsc9YF9FTRoTRpCJ15H6K13EDJ5MvrIyB6pl1zjq0NvXGef1x+mTh6to+RYHeV5jfg8wd3JQyNNJA2KbJ1DKoLwaJnk/VzJ/+Wrg1znK9+ZXOOz+R7o1XBlNBoZM2YMa9eu5Y477gD8YWLt2rX85Cc/Oe2+ZrOZpKQkPB4PH374IfPnzwfgpptuYv/+/UHbPvDAAwwePJinnnrqvO+dMRqNaLVaSktLiY2NxWg0XtAWJUVRcLvdOJ1OCVcXiaqquN1uqqqq0Gq1gXm/xOVBVVWyi7N56auXKGsuJaYR5niuYWrTYBwfb2Jv/huE2RtJBpJP2ddk8xCa5CV09jws3/4NGpN88BSXLsWnUFnURMnROkqO1VN2vB6vOzhMWcON/iA1KIKkjEhssRbpBSGEEBdQr3cLfOKJJ/je977H2LFjGT9+PIsWLaKlpSUweuB3v/tdkpKSeOGFFwDYvn07JSUlZGZmUlJSwsKFC1EUhSeffBKAsLAwhg0bFnSMkJAQoqOjOy0/F1qtlrS0NMrKyigtLT3v8r6Oqqo4HA4sFvmFeLFZrVZSU1Ml1F4mVEWh6PBXfPTp73EdPsz3yyG9AkIdKrAf2E9I27aAzgZhkXbMkR7MkR5MkR50GdNg1u8hZmCvnYcQp1JVFbfDS0u9m5ZGF9XFzZQcq6M0tx6P0xe0rTnU4A9SgyJJHhxJRJxVfncIIcRF1Ovh6pvf/CZVVVX8+te/pry8nMzMTD777LPAIBdFRUVBH26dTicLFiwgLy+P0NBQZs2axZtvvklERMRFq7PRaCQ1NRWv1xs0kMaF4PF42LhxI1OmTJFm6YtIp9Oh1+vlQ8klSvX5cOfn4zx0COfBQ9gPHqD54D70Dg+nTifu0eioCbdhiFJIi6kiylaPKcKLVq+C1gDpU2HwHMi4FcK67o4sxIWgKiqOZg/2RhctDW7sDW3PHV63rju1e18bk1VP4kB/q1RyRiRRCSFotPJzSwghekuvhyuAn/zkJ912A+w48S3A1KlTOXTo0FmVf2oZPeFi3Yuj0+nwer2YzWYJV+Kqpfp8NK76DEdOjj9QHT2K6nAEbaMH3HooiDaTHzoQQ7iBoXEVXGs7xAhNcfuGxjAYNAMGz4YBN4M5eNAaIc6XqkBLvQu33XFKaAp+djS6UZQzn9DdZNVjDTdii7WQOMgfpqKTQ9FKmBJCiEvGJRGuhBCiO+6TJZQ+9RSOXbuClxuMnIg1kJ9oJz9OQ15MCHHqAH6iqWCOOxud2mFOitA4yJgFQ+ZAv8mglxHRxPlRFZXmehd15S3UldupL7dTV+F/bW8IZdnnX51xWZYwA9ZwEyE2I1abEaut9XVgmf9Zb7yw8+0JIYQ4fxKuhBCXJFVVafzkE8p/81uU5ma8ZgtfDr6eLfoYCvqWU5v+JarehUbVMddu4N2qXMLUo+0FRA/wd/cbPAeSxoDcOyfOgdfjo6HSQV25vT1IVdipq7DjdXXXLVyDRgvWMCMhESasNhNWm5GQ8A7BqfXZEm5Ep5PvTSGEuFJIuBJCXHJ8DQ2UP/88jVmrADgak8YLo+6hOrYeW/z7eEz1AIxyOvlVdR0ZbTOnJ43xd/cbPAdiM3qp9uJy5Gh2U1fWGqAqWluiyltorHH6R0DpglarwdbHQmR8CBHxViLjrYRFG9m+ewuzb78Fk0lGGhVCiKuNhCshxCWl5cvtlD79NN7ycnwaLW8NnsEXw1IYnPgadms9HiDK5+Px2nrm2l1o06b4A1XGLAhP7O3qi0uYqqo0VjtaQ5S/G58/RNlxtni63c9o0RPZGp4i40MCz2Ex5k6tTh6PB90hVe6DEkKIq5SEKyHEJUFxu6lctJjav/0NjapyMiSaP0wdS/PgvXhMa9gPaFSV+S0ufhozHtvYO2DgzWCJ6OWai0uVqqo0VDooOVYXmAvK3ujudvuwaLM/OMW1t0RFxodgCTPIyKFCCCHOiIQrIUSvcx47xrGf/RxDwXE0wGeDE3n7liaclrUA6FWVm7x6Hhj1Hwwd8V0wmHu3wuKS1VjtD1Mnj9ZRcrSelnpX0HqdXtsenOKsgS59EXFWDDJghBBCiPMk4UoI0WtUVWXvH/+C9i9/wuDz0GDWsXQ27BpUCUC818vdTS3cNWgeMTf/TkKV6KS5zknJ0TpOHqun5GgdTTXOoPVavYb4NJt/Yt2MSOLSwtEbJEQJIYS4MCRcCSF6xaH9eeQ9+XP65x8BICddw6uzoSFUwyS7g282NTPZGIv+jreh3/W9XFtxqbA3ulvDlL+rX0Nl8HxnWq2GPv3CSBoUSVJGJPH9bdIiJYQQ4qKRcCWEuKjyq5p564+/Z8YnH9Lf6cOthzdv1LJtfBh3OVzMKy4ixeuF0d+Fmf8FprDerrLoRY5mN6XH6lu7+dVRV24PWq/RQGxqGEkZ/jCV0N+G0Sy/2oQQQvQO+Q0khLgoTtRU8/zK1xi34gPuPuD/gJwXB59+K4NZiXH8Lud9TIrPP+Hv3P+FQTN7ucaiN7jsHkqO1bcOQlFPTUlz8AYaiEkODbRMJQ6wYbIaeqeyQgghxCkkXAkhLqjtJXt5YfMbcHwDj37iIr4eFGDvzYMY/cgPeXXj72HnOv/G19wBc14Ba1Qv1lhcDC67p3ViXjv1FS2B1w2VdtRT5pWKSgxpDVMRJA2MxBwqYUoIIcSlScKVEKLHOb1OPjmexdLdy6h2HuXOrSp3b1bQqWCPCqPvf/839+kOwvsPgM8F5giY/TIMu8vfz0tcEVRFpanO6Q9QrZPy+ueXsuM4zZDoEXFWfze/QREkDYrEGi6T8QohhLg8SLgSQvSYosYi/nXkXT44+jFOpYm4OpXnP1HIKPE3RYTNnsWgRx9Et/ZJKNzs36n/TXD7EpkA+DLmdfuor7S3t0SVt1BX4Q9UXo/S7X4hEabAkOgR8SFEJliJSgghxGa6iLUXQggheo6EKyHEedtftZ//3b2EbWVb/QtUlam7LTyY7cTiUdGGhhL/3K+xJdXBWzPB3QSGEJj5nzDmAWmtuoSpiorXo+B1+/C4fDS3tkS1P1poqnWC2vX+Wp2GiLi2AOWfVyqydV4pGXhCCCHElUZ+swkhzpnL5+L/dv8ffzv4d1QUVFWDpTqdn6z1MD4/DwDr2LEk/vr/Ydj5X7DiM/+OKdfBna9CVHov1v7K01Blx9HkweP24XX7A5G39XXwsvZ1no7LPO3r2rb3nablqSOTVd8enNpCVJyV8BgzWp32Ap+5EEIIcWmQcCWEOCf7qvbx1IZfcbKlAABPQyajj2bw5M5VmBpqwWAg9mc/JfraaDQf3wGOWtAZ4cYFMOEnoJW5h3pKY42Dze/lkr+3+oIeR2fQEmIzEhHn78IXGdfeEmUONaCRFkghhBBXOQlXQoiz4vK5ePmrP/KvY28CKoo3DG3JXP77ZA0DNy4DwJieTuJ/Posl/3X46H3/jvHD4c4/Q9zQ3qv8FcbnVdizpoidKwvwehQ0Wg1hUSb0Rh16ow6DUdv6WhtYpjdqMXRYZgha3/0yvV6LRivhSQghhDgdCVdCiDO2q3wPj2c/Q53nJADGiuH86EQKk/eugPo6ACLvu5c+3xiL9vP7oakMNFqY/HOY8iToZdS3nlJ8pJaN/zpGfYV/zrDEgRFMuXcQ0YmhvVwzIYQQ4uol4UoI8bWcXie/WPN71pe/DxoVW30I879MZ/qRI2gcuwEwJCUR9/T/I8z1OXxwr3/H6AH+1qrksb1Y+ytLS72LLR/kkruzEgBLuJFJdw1g0Pg46ZYnhBBC9DIJV0KI01p+aAu/3b4Qt7ac+DqV2zdHc8PRWrRef6gyDRpE9A9+QPiwSDQrHoG6fP+O438E0xeC0dp7lb+CKD6F/etL2P5JHh6nD40Ghk1N5tq5aZisMqmuEEIIcSmQcCWE6FJxfT0/yXqRE+4s0isV7tiq5bpjXjRqa4tJ/z5ET44nNN6OJv9Z2JUPqBCeDHf8CdKn9Wr9ryRlx+vZ8K9j1JQ0A9CnXzjT7ssgNjWsl2smhBBCiI4kXAkhQFHAXg31xbhrC3ln9zr+6tpCQrmLX21TycxXAR8AoYlOooc0Y40tBSdQ0KGckffCrS+B2dYLJ3HlcTS52frxCY5sLQPAFKJnwh39uWZSogwuIYQQQlyCJFwJcTVQFKg9AQ3F0HCyw6Pt6xLwuXBqNPzJZuNQZSg/36YwsKx1f41KeKqD6OE+zGlJYBsNtuTWR4r/EdkPbEm9eZZXDFVRObi5lC+Xn8Bl9wIwZFICE+7sjyVUBgURQgghLlUSroS40rma4M1vwMmvTrvZbr2Jj6timPyFyqya1oljDToip19H1HfvxTh4NJgjQAZNuKAqCxvZ8K9jVBY0AhCTEsrUezOIT5fWQCGEEOJSJ+FKiCuZzwPvfc8frHQmiEprbWnytzrVG+N4c28zZV/+m1sPFnJvowqAEmIh9tvfJeo730YfE9PLJ3F1cLZ42L4ijwMbS0AFo1nH+LnpDJ+ahFan7e3qCSGEEOIMSLgS4kqlqvDpY3BiLRiscP+nkDQGALvby9+y9lD59hJmH/uKMKc/VNnDTcQ9+BAJ374fXajMl3QxqKrK0e3lbP3wOI4mDwADx8Ux6e4BhNhMvVw7IYQQQpwNCVdCXKk2vAS73/JP4nv33yBpDIqi8unaPZx49c9MPbYJi9ff/a8yUofle/cw9oFfoDXJB/qLpaakmQ3/OkrZ8QYAIuOtTLk3g+SMyF6umRBCCCHOhYQrIa5Eu9+C9S/4X89+GTJuIWfTbg7+4U+MPLqNgYo/VOXHQcnt45n/8CvYrFG9WOGri9vpZcen+ezNPomqqOiNWsbNTmPkTSno9NIFUAghhLhcSbgS4kpzfA2s+BkAyrWPUlwYw6Hn7yM1dw9j8Xf/O5gK66ZG8c3v/hc/SJnam7W9qqgq5O2uYttH+bTUuwBIz4zl+vkDCYsy93LthBBCCHG+JFwJcSUp24v67vdwVmupaxhJ9YpVGOzv06919Y6BGpZfp2XotDt5YdwvCDeG92Ztr3iKT6GlwU1TrZOGqhaqd1hYU3MEgPAYM5O/OYh+w2XAECGEEOJKIeFKiCuE59guGn57Hw1HLbgbw4FyDEB1iIFNI7ysH67FlxLHcxOeY0rylN6u7hXB5fDSXOukqdZJU42T5jonTbWuwLKWeheq2nEPPTq9htEz+zJ6Zl/0Rl1vVV0IIYQQF4CEKyEuY4rDQdOaNTR8+D4tX+4AtIAWl07Ptn5xbBpTzYE0L2j13DXoLh4f87i0Vp0hxafQXO+iudZFU23n4NRc68Tt9H1tOVqdhtBIEyGRJhqdVcx5YCIxiXINhBBCiCuRhCshLjOqquLYtYv65ctpWvUZSktLYJ0+VmFp//FsGFuIK6wCgJGxmTxz7TMMjR7aW1W+5HncPg5vKaU8r/E0rU5dM4cYCI0yERZlJizKTGjg2b/MGmZEo9Xg8XjIysrCFmu58CckhBBCiF4h4UqIy4T75Ekalv+bhn//G09xcWC5JtxIdEoNFQPgO6kjcYXuASDWEsvjYx5nTvocNBpNL9X60ub1+Di4qZSczwqxN7o7rdfqNYRGmgmLMhEW2Tk4hUaaMZika58QQggh/CRcCXEJ8zW30PT55zQsX459x47Acq3VinfyDRRr87netpY/R0bwD5sNVVOEXqvnO9d8hx+N+BEhhpBerP2ly+dROLy1lJ2rCgOj9oVFmRk6JRFbrLVTq5MQQgghxJmQcCXEJUZVFOzbt9OwfDmNX6xGdTj8KzQarNddi+7W23jVm4zu4JuMj9jK7VEJVOr1gMKkpEk8Ne4p0mxpvXoOlyqfT+HotnJ2ZOXTXOsPVaGRJsbc2o8hExNkjikhhBBCnBcJV0JcIgxVVdT88Y80fboSb1lZYLmxXz9sd9yBdc4c3ilw88qaY4zQvI029XM+NvuH8U4OTeap8U8xNXmqdAHsguJTOLq9gp1Z+TRWOwGw2oyMuaUfQ69PRGeQUCWEEEKI8yfhSohe5ikvp+TJJ0n7agd1rcu04eGE33orEXfegXnkSLadqGHh+wfJra4gMfY99kccQdWYsKDlh6N+wneGfheTztSr53EpUhSV3B0V7FiZT0OlvwXQEmbwh6rJiTIUuhBCCCF6lIQrIXqR89Ahih/+Md7KSlSNhpDrryfyG3cSeuONaE0mTtbZ+d2yHFYdKMEQuZ3w/p/TqHMBGm7VhPPEHe8RH57U26dxyVEVleM5lez4NP//t3ff4VGV6RvHvzOTSe+dhBBK6L2DSO8I0hQVC5a1gg1dFXtbWf2tLnbW7qogNlCk995b6C1AII2S3icz5/dHNMqCSmDCpNyf6+IKOTNzznN4M1y5533Pc8hIzQdKu/q1HViHlj1rqwmFiIiIVAiFKxEXyVm+nKSJj2Dk5+Me14D9o0bR/+absVqtFNrsTF18gPeXH6bE/SA+9Wdj9kjFATQuKmaSKZT2tywAD19Xn0alYhgGCdtPsXH2EdKTS1vUe3i70XZAHVr2qo27p/7LExERkYqj3zREXCD9q69I+8cr4HDgc0VXwv/1L3atWoVhGMzflcJLP+8lOTcFj4i5ePvHAxBgmLj/zBmusQRj+dtMBavfMQyDozvPsHF2AqeP5wLg7mmhTf86tOoTg4eX/qsTERGRiqffOEQuI8Nu5+Rrr5H++X8BCLhmNLWee44SICUfbv1sC2uPpOEevBLfBsvBbMNsMnOtKYAJR3YS6BEA434A33BXnkalYRgGiXvS2fhTAieP5QBg9bDQum8MrfvG4OljdXGFIiIiUpMoXIlcJo78fJL+/hi5S5YAEPbww4TcdSclDoN/zt3DpzvMmH1X4dtgDiZrOgDtwtsxqcidJtu/AYsH3PA1hDZ05WlUCoZhcGJfBhtnJ5CakA2Am7uZVr1r06Z/Hbx83V1coYiIiNREClcil0HJqVMcv/c+CnftwuTuTtQ/J+M/ZAg2u4OHvt7OvP078IiZjZvvQQDCvcN5pP0jDE7ah2nDC4AJRn8Idbq49kQqgaQDGWycfYTkg5kAWKxmWvaMpu2AWLz9FapERETEdRSuRCpY4YEDHL/nHkqSU7AEBlL7vXfxbteuLFgtOLIY73rTMZlLsJqtjGs+jjtb3on33jmw5IXSnQyaDM2Gu/ZEXCzlUCYbZh8haX9pw3qLm5nm3aNoNygWnwC1oRcRERHXU7gSqUC5a9aQ9OBDOHJzca9bl5j/TMU9Nhab3cGDX29j4bF5eNb+FpPJQQO3Brw++HUaBDeAIyth1r2lO+k6Abrc69oTcaGkAxlsnnuUE/tKQ5XZYqLZlVG0HxSLb5Cni6sTERER+Y3ClUgFyfzuO1KefwFKSvDu0IHot9/CLSioLFgtOjETr+gfARhWbxgd0jtQx68OpO2Br28Ehw2ajYD+L7n2RFzg12uqNs05QsqhLADMZhNNukbSfkhd/EO8XFyhiIiIyLkUrkSczHA4ODXlTc588AEA/lcPo9bLL2N2dy8LVouTv8Yzcj4AY5uMZWLbicyfNx+yU+Cra6AoG+p0hZH/AbPZladzWRmGwbFdZ9g89yhpR0obVZjdTDS7Ioq2A+soVImIiEilpnAl4kSOoiJSJk0ie+48AELHjyd0wnhMJhM2u4P7p21l6cnP8AhfAcBdre5iQpsJlJSU4GYvwG3G9ZCdBKGN4PppYK0Zy94Mw+DIjtNsnnuUU4mlLdUtVjPNr4yi7YBYfIN0TZWIiIhUfgpXIk5Skp7OifETKNi2DaxWar30IoEjRgD8Eqy2sOzMf/AI3QDAI+0f4dYWt5a+2F5MxyNvYcrZDT7hcON34B3smhO5jAyHweFtp9g89yhnkkpv/uvmbqZFz9q06RejRhUiIiJSpShciThBUcIRjt9zD7bERMz+/tR++218OncCSoPVhGmbWJHxDu5B2zFh4tmuz3JNo2tKX5x7Csu8xwjP2Y1h9cF04zcQFOvCs6l4DofBoc1pbJ53jIyUPACsnhZa9qpNm74xePmppbqIiIhUPQpXIpcob+NGTtz/AI6sLKy1axPzwX/wqF8fKA1W47/awKrsf2MN2IvZZOHV7v9kUGx/OLQYtnwO++didpTgwIxj1Me4RbV18RlVHLvdwcGNaWyed5SskwUAuHu50apPbVr3icHTx+riCkVEREQunsKVyCXI+uknkp96Gmw2vFq3pvZ77+IWEgKUBqt7v1rLmtz/w80vAavJnSmdn6LHse0w61HIOl62H0dUOzZ69qR9XD8XnUnFspc42Lcuha0LjpF9uhAADx832vStQ8vetfHw0n9FIiIiUvXpNxqRi2AYBqfffY/T77wDgN/AgUS9+k/MnqUNKGx2B/d8tYp1+a/i5nMcT5OV90wRdJx+O2CU7sQzAFpdD+1uwR7SmLS5c110NhWnxGZn75rSUJWbUQSAl5+VNv3q0KJnNO6e+i9IREREqg/9ZiNSTkZxMSnPPEvWj6X3qAq582+EPfwwpl9aptvsDu76ainbCl7G4nWGAIfB1JTjtCg+XLqDut2h3ThoOhSsv7QWt9lccSoVxlZsZ8+qZLYuPEZ+VjEA3gHutBsQS7PuUVjdLS6uUERERMT5FK5EysGelcWJ+x8gf+NGsFiIfO5ZgsaMKXvcVpjHO5++wjHrbOyeBmElJXyQeoo4j2DoNBba3gwhDVx4BhWruLCEXSuT2L4okYKc0sDoG+RBu4GxNO1WCzerQpWIiIhUXwpXIheo+Phxjt91N8VHjmD28SH6zTfxvbJb6YMp8di3fM7B+Bn8HOHHKTc3om0lfOjVhJjR/4KGA8BStZs12O0OSoodlBTbKSm2Yyv67e8lxQ5On8hhx5ITFOaVhiq/EE/aD4qlSZdaWKw150bIIiIiUnMpXIlcgILt2zl+33js6em41apFzNSpeMZGwqaPYet/IWU7+92t3BMZTobFQozZj0+HTSUiopWrSwcgIzWPlENZ2IrslNhKw5Dtl1D0+4BUUmzHdp5tJcUOHA7jgo4VEOZF+8F1adQ5AotFoUpERERqDoUrkT9hGAZZP8wk9cUXMYqK8GzWjNrP/A3r3inw3Uyw5QOwycObeyPCKLIYxPg04quhHxHkGeTa4oHighI2zj5C/PITGBcYjv6KyQRu7hbcPCxY3c2lf7ea8fB2o3GXWjTsEI5ZoUpERERqIIUrkT9gz84m9fnnyZ47DwDfNnWJ7pyI+cfry55jhDZmsrkF0722gbmEOL9WfDH0P/i6+7qq7NK6DINDm0+y+ruDZQ0lohoG4hPgXhqG3C24/RqM3M1Yz/r+f7ZZz95mdjNhMplcen4iIiIilZHClch55G/dRvKjj2JLTgaLmbCWOYQ0XospC7B6Q/NR2FrfxPUrt7Pf+A8mk53mgZ357Kp38HTzdGntGal5rJh+gKT9GUDpMr0e1zeiTvMQl9YlIiIiUt0pXIn8jmG3c+aDDzj1zrtgt2ONCCG69QG8gougVhtofyu0GE2xmy/XfjWFw8ZnmEwG7UJ689Hg17G6sGmFrdjO5rlH2b4oEYfdwGI1035QLG0H1FGXPhEREZHLQOFK5Be21FSS//4Y+Zs2AeDfuxORYfOxmIugzY1w9TtgNlNc4mDUV//kGNMxmeCK8CG8N/AVLGbXBBjDMDiy4zSrvzlITnohALEtQ+g+phEBYV4uqUlERESkJip3uKpbty633347t956K3Xq1KmImkQuu5zFi0l56mnsWVmYvb2JfOAWApJfg+JCaDIUhr0FZjNFNjsjpj3HCUpvINy31rX8u/8zLrsGKetUAau+OcCxnWcA8A32oPuYRtRrHarrokREREQus3K39HrooYf44YcfqF+/Pv379+frr7+mqKioImoTqXCOwkJSXniBExPux56VhWeLFtT7+HUC0qZAcS7U6wGjPwaLG0U2O0OnPVYWrIbG3OayYFVis7NpzhGmv7iBYzvPYLaYaDcolrHPdaF+mzAFKxEREREXuKhwtX37djZu3EjTpk25//77qVWrFhMmTGDr1q0VUaNIhSg8cICj115L5vSvAQj52x3Uff+fuC+7DwrSIaodXD8NrJ4UFNsYPO1+UlkIwDV1JzC5z0SXhJjEPWf4+sWNbJx9BLvNQXTjIK5/phNdRzTA6qFrq0RERERc5aJvRtOuXTveeustkpOTee655/joo4/o2LEjbdq04ZNPPsEwnHNPHRFnMwyD9GnTOHrtGIoOHsISFkrMxx8Rfs84TNOvhewkCG0MN34HHn5kF+UzaPrdnGIVhmHilrjHea7n3Ze97tyMQuZ/sJPZb+0g61QB3gHuDLijOcMfakNQpM9lr0dEREREznbRDS1sNhszZ87k008/ZdGiRXTp0oU77riDEydO8OSTT7J48WKmTZvmzFpFLllJRgYpTz9D7pIlAPj07EHUK6/g5uMGn10F6YchIAZunonDO4jPtn/HW9vexm5OxzAs3NXkGR7oMvqy1my3O4hfcoKNc45QUmTHZDbRqldtOg2rh7uXetKIiIiIVBbl/s1s69atfPrpp0yfPh2z2cwtt9zCv//9b5o0aVL2nJEjR9KxY0enFipyqfI2bCT5sccoSUvDZLUS/vdHCbr5ZkwlhfDFKEjdCT5hcPMs1uUm8uz8+0gtTCid3y0J4KHWz/C3DgMva83JBzNYMf0A6cl5AETWD6Dn2EaE1va7rHWIiIiIyF8rd7jq2LEj/fv35/3332fEiBFYrefe16devXpcf/31TilQ5FIZNhun3nmXMx98AIaBe716RL/xOp5Nm4LdBt+Mg8S14OHP/uFT+L8tr7EhdV3pa+0eRBhD+GTkRGKDAy9bzfnZxaz9/hD7N6QC4Olr5YpRDWjSpRYms5pViIiIiFRG5Q5XCQkJxMbG/ulzfHx8+PTTTy+6KBFnKT5xguRHHqVgxw4AAq+9hohJkzB7e4PDAbPuhYMLSPXw4Z12Q/hp3ZMYGBiGhZKMLvyt5V083KctlssUaBwOg/hlJ9jwUwLFBSVgguZXRtFlRAM8fVx3g2IRERER+WvlDlcnT54kNTWVzp07n7V9w4YNWCwWOnTo4LTiRC5F1s9zSH3+eRy5uZj9/Kj10ov4DxpU+qBhwLzHyNn1HZ8EB/FFYBBFqWsBsGW3IqhoOO9c25/2sUGXrd6iTDOz/rWd08dzAQir40fPGxoTUc//stUgIiIiIhev3OFq/PjxPPbYY+eEq6SkJF599VU2bNjgtOJELoYjL4/Ul/9B1syZAHi1bUv0v/4Pa3R02XNsy17mm/3TmRoTRabFAkYJJfl1KUobwlWNu/CPkS3w97w8M0X52cWsm3WIU+u8gVzcvdzoMrw+zXtEY9YSQBEREZEqo9zhas+ePbRr1+6c7W3btmXPnj1OKUrkYhXs3k3yxEcoPnYMzGZC77mH0PvuxeRW+qNuGAYLFz3Km4lzOB4SXPoiWzj5qYPwKG7Bq1e34Jr2tS/L/atsRXa2L05k28JEbEV2wETDTuFceU0jvP3dK/z4IiIiIuJc5Q5XHh4epKWlUb9+/bO2p6Sk4OamttDiGobDQfpnn3Py3/8Gmw23yEii/+81vH/XtXJL2hbeWPkk8fnJYLXiZ7hzKvUqbJkdaBEdxFvXt6V+mG+F1+qwO9i7NoWNs4+Qn10MQFgdX6h1kt43NT5vkxgRERERqfzKnYYGDBjApEmT+PHHHwkICAAgMzOTJ598kv79+zu9QJG/UnL6NMlPTCJv9WoA/Pr3p9ZLL2IJDAQgISuBKVumsOz4MgC8HA4650YxO/keMDy5s3s9Hh3YGA83S4XWaRgGR3eeYd0Ph8hIzQfAP9STLiMaENsqiHnz5lXo8UVERESkYpU7XP3rX/+iR48exMbG0rZtWwC2b99OREQEX3zxhdMLFPkzjrw8jt16K8WHDmPy8CBi0iQCrxuDyWTidMFp3t/+Pt8f/B67YcdiGIzKyaVOejNeKLiXUF9P/nVta3o1Dq/wOtOOZrP2+0MkH8wEwMPHjY5D6tGiRzQWqxmbzVbhNYiIiIhIxSp3uIqOjiY+Pp6vvvqKHTt24OXlxW233cYNN9yg5UxyWRmGQfJTT1N86DBuYWHU+eRjPBo2JN+Wz+e7P+fT3Z9SUFIAQK+CYh4+c5qDhW24z3YP3RtF8Pq1rQnz86jQGrNOFbD+x8Mc2nwSAIubmdZ9a9NuYCwe3nq/iIiIiFQnF3WRlI+PD3fddZezaxEpl/RPPyNn/nywWol+800sDerx7YFveW/7e5wuOA1Ay4A4HjgcT5ec06yxN2ei434mXdWC27vVq9BOfIW5NjbPPcrOFSdw2A0wQZPOkXS6uj5+wZ4VdlwRERERcZ2L7kCxZ88eEhMTKS4uPmv71VdffclFifyVvA0bOfn66wBEPP44G8Oy+PdPo0nISgCgtm9t7m80litnv4h/8Wm2O+rzD/+nmTG2Gy2iAyqsrpJiO/HLTrBl/rHSmwADMc2C6TqyAWExfhV2XBERERFxvXKHq4SEBEaOHMnOnTsxmUwYhgFQ1rrabrc7t0KR/2FLTSXp4YfBbsf36qG8HL2ZRUv/CUCgRyD3tL6Hbj5dcP98GP72kxx0RDOz6RS+HdUNH4+K6WhpOAz2b0xlw48J5GYUARBS25crRjWgTrOQCjmmiIiIiFQu5f5N88EHH6RevXosWbKEevXqsXHjRs6cOcMjjzzCv/71r4qoUaSMo7iYEw88iD09HWvjhrzU/STrErdiNVu5pdkt3NHyDtbsTKZgxijqkkSSEcaRIV/yQpdz783mLMf3pLPmh0OcOZELgG+QB52H16dRp0jdBFhERESkBil3uFq3bh1Lly4lNDQUs9mM2WzmyiuvZPLkyTzwwANs27atIuoUASDtH69QGB+Pyd+P/xtpZl36VnysPrzd522aB7fllVlbGbbrfpqaj5JpCsR8yywG1G9RIbWcPpHD2h8Oc3xPOgDunhbaD65Lq961cXOv2LbuIiIiIlL5lDtc2e12/PxKrx0JDQ0lOTmZxo0bExsby/79+51eoMivMr//gcwZM8Bk4sNRvqw1HSbYM5ip/aZiL4xi+FvLeSLrZTpb9lFk8cHn9p8IjHZ+sMpJL2TjTwns25AKBpgtJlr2rE37IbF4+bo7/XgiIiIiUjWYy/uCFi1asGPHDgA6d+7Ma6+9xpo1a3jxxRepX7/+RRXx7rvvUrduXTw9PencuTMbN278w+fabDZefPFFGjRogKenJ61bt2b+/PlnPWfy5Ml07NgRPz8/wsPDGTFihIJfFVewazepL7wAwM+9fVlY6xRRPlH8d/B/2XXEl9HvrWZ81uv0tWzDbvHE45bvsUa3dmoNRQUlrJt5iK+eW8++9aXBKq5DOGOf78yVYxoqWImIiIjUcOWeuXr66afJy8sD4MUXX2To0KF0796dkJAQZsyYUe4CZsyYwcSJE5k6dSqdO3dmypQpDBw4kP379xMefu7NXZ9++mm+/PJLPvzwQ5o0acKCBQsYOXIka9euLbup8YoVKxg/fjwdO3akpKSEJ598kgEDBrBnzx58fHzKXaO4VklGBkkPPIBRXMz2Rla+6JRPXGBDpvabSkKqG0/8sJ5nzZ8ywrIWw+yG5bovILar845fbGf3qmQ2zz1KYV7pzX6jGgZyxag4Iur5O+04IiIiIlK1lTtcDRw4sOzvcXFx7Nu3j/T0dIKCgso6BpbHG2+8wZ133sltt90GwNSpU5kzZw6ffPIJTzzxxDnP/+KLL3jqqacYMmQIAPfeey+LFy/m9ddf58svvwQ4Zybrs88+Izw8nC1bttCjR49y1yiuY9jtJD/yKLbkZFKDTUy5ykHL8Na81/c9cgvcuf+rlTxu/opxboswMGEa+R9oNMApx85JL2TXyiT2rEouC1VBkd50HRVH3ZYhF/XzLiIiIiLVV7nClc1mw8vLi+3bt9OixW/XsgQHB1/UwYuLi9myZQuTJk0q22Y2m+nXrx/r1q0772uKiorw9Dz7JqxeXl6sXr36D4+TlZX1p3UWFRVRVFRU9n12djZQer42m+3CTqaC/Hp8V9fhKmfefJO8tWsptML/jTTTpl43/q/7/2Gyu/PQ5yuYbHuV/m5bAHAMfBVHk+FwCf9WhmGQlpDNrhXJHNlxGsNRut032IO2A2Jo3CUSs8VESUmJM06vTE0f55pAY1wzaJyrP41xzaBxrv7KM8bl+TkwGb/eqOoC1a9fn5kzZ9K69aVfz5KcnEx0dDRr166la9fflnE99thjrFixgg0bNpzzmrFjx7Jjxw5mzZpFgwYNWLJkCcOHD8dut58VkH7lcDi4+uqryczM/MMA9vzzz/PCL9fz/N60adPw9va+hDOUS+GzezfR//0CgDevNpPTpg2jvEdhwY3FB09zf84bNDafoMRkZUed2zkR3O2ij2XYIT/Fjdxj7tiyf+v05xFcgm+sDc+IEjRRJSIiIlLz5OfnM3bsWLKysvD3//NLQsq9LPCpp57iySef5IsvvrjoGatL8eabb3LnnXfSpEkTTCYTDRo04LbbbuOTTz457/PHjx/Prl27/nRma9KkSUycOLHs++zsbGJiYhgwYMBf/gNWNJvNxqJFi+jfvz9Wq9WltVxORQlHOPL8MwDM6Wii9sgb+Hv7v2M2mVk07wdezH2WYHMuRV5hWK77ilbR7Wh1EcfJyypi7+oU9qxNpTC39FMJi9VMXIcwWvSMJiT68lyjV1PHuSbRGNcMGufqT2NcM2icq7/yjPGvq9ouRLnD1TvvvMOhQ4eIiooiNjb2nAYRW7duveB9hYaGYrFYSEtLO2t7WloakZGR531NWFgYs2bNorCwkDNnzhAVFcUTTzxx3k6FEyZM4Oeff2blypXUrl37D+vw8PDAw8PjnO1Wq7XSvKEqUy0VrSQ3h9333oJ/gY09MeD74H080n48JpOJI/PepP+WF7Ca7Jzya0bYnd+Df1S5j5GakEX8shMc3nISh6N08tY3yIMWPaNpdmWUyzr/1aRxrqk0xjWDxrn60xjXDBrn6u9Cxrg8PwPlDlcjRowo70v+kLu7O+3bt2fJkiVl+3U4HCxZsoQJEyb86Ws9PT2Jjo7GZrPx/fffM2bMmLLHDMPg/vvvZ+bMmSxfvpx69eo5rWapWMUlxSy+ezj1krNI9wXHixO5p8OdYLeRN2si9Xb+F0yw2a8f7e//AtwvfNmmvcTBoS0niV92gpNHf/sEolZcAK16x1C/TShmS7nvTiAiIiIiAlxEuHruueecWsDEiRMZN24cHTp0oFOnTkyZMoW8vLyy7oG33HIL0dHRTJ48GYANGzaQlJREmzZtSEpK4vnnn8fhcPDYY4+V7XP8+PFMmzaNH3/8ET8/P1JTUwEICAjAy8vLqfWL8+Tb8vni2WvpsSWFEjMUPj+Ba7veCXlnsH9zCz7HVuMwTHzmPY4bJryOyf3Cfnzzs4vZtTKJ3SuTyM8uBsDsZqJRxwha9Y4hrI5fRZ6WiIiIiNQQ5Q5Xznbddddx6tQpnn32WVJTU2nTpg3z588nIiICgMTERMzm32YTCgsLefrpp0lISMDX15chQ4bwxRdfEBgYWPac999/H4BevXqddaxPP/2UW2+9taJPSS5CVlEWr029hbGzEgAoHD+WvkPHQ9oejOnXY8k8Rq7hyZPmB/n7nQ/h5fHXP7onj2UTv/QEB7ek4SgpXfrnHeBOy57RNLsyGm9/3fRXRERERJyn3OHKbDb/6f197HZ7uYuYMGHCHy4DXL58+Vnf9+zZkz179vzp/srZAFFcLC0vjce/u4N7Pj+M2QD7wO50uO9p2DcHfrgLU3Euxxzh3FXyKE/fNoqY4D9eCmi3O0jYdor4pcdJTfht6V9EPX9a94mhftswLG5a+iciIiIizlfucDVz5syzvrfZbGzbto3PP//8vO3MRf7Msexj3DfvLu7+LJGAfKBhfZpNnoJp1euw9GXAYJ2jGfcWP8i9gzvSvWHYefdTkFPM7lXJ7FpxgrysX5b+WUzEdQinVa8YIuq5tuujiIiIiFR/5Q5Xw4cPP2fbNddcQ/PmzZkxYwZ33HGHUwqT6m/vmb3cs/geRs86RcMUwN+PBm9OwTx3Auz6HoBvTIN4sngsg1rFcFePcztCGobBlnlH2Tz3GPaS0jv+evm706J7FM17ROMTcG4XSBERERGRiuC0a666dOnCXXfd5azdSTW3KXUTDyx9gI6bs+m/zQCTiZgXJ+G+6G+Qsh3D7Mb73vfw2ukraBLpx2vXtDpnOaphGKz94TDbFyUCEB7rR6s+McS1C8di1dI/EREREbm8nBKuCgoKeOutt4iOjnbG7qSaW5a4jEdXPErtpCLuXFh6fVzoLSPx3fU45KZheAXzQeTzvLY3lAAvK/+5uT3e/9MZ0DAMVn97kPilJwDofl0jWvaK/tPrAUVEREREKlK5w1VQUNBZv8AahkFOTg7e3t58+eWXTi1Oqp9Zh2bx/Nrn8c4r4amfrLiVFOLbvhGhtg+hqAjCm/Nj0/9j8oJMzCZ464a2xIacfaNqw2GwcsYBdq1IAqDXjY1p3l3BXkRERERcq9zh6t///vdZ4cpsNhMWFkbnzp0JCgpyanFSvXy26zNe3/I6JofBy4tC8Es/iTXMh6jYFZgcBjQZyrYOk/n7p7sA+PvAJvRsdHYDC8NhsHzafvasTgYT9L6pCc26RbnidEREREREzlLucKX7REl5GYbBlK1T+GTXJwC8sqcltfZsx2Q1Ubv9ESzuBvT4O2ntJ3LXO2ux2Q2GtIzknp5nN7BwOAyWfbGXfetSMZmg77imNO5SyxWnJCIiIiJyjnJf9f/pp5/y7bffnrP922+/5fPPP3dKUVJ9GIbBS+tfKgtWL9qH0mD2dgBqdTiDZ6gVrvmEoh6TuPerbZzKKaJRhC//d03rs2ZIHXYHSz7bUxqszCb63d5MwUpEREREKpVyh6vJkycTGhp6zvbw8HBeeeUVpxQl1cfa5LV8e+BbzCYzk+tMoNnb8wEIbpRLQMsQuH0etBjNC7P3sDUxE39PNz64uQM+Hr9NqtrtDhZ9uocDG9Mwm00MuKM5jTpGuuqURERERETOq9zLAhMTE6lXr94522NjY0lMTHRKUVI9OAwHb259E4BbYsfQ9IX/UlxQiHdYEeFXNYaxX4FfBNM3JjJtQyImE7x5Q1vqhv7WwMJe4mDRx7s5vO0UZouJgXe2oH6b899IWERERETElco9cxUeHk58fPw523fs2EFISIhTipLqYdGxRexN34u3xYuRb8+nODkdNy870Xf2wnTHHPCLYGtiBs/9uBuARwc0pnfj8LLX220O5n+wqzRYuZkYfHdLBSsRERERqbTKHa5uuOEGHnjgAZYtW4bdbsdut7N06VIefPBBrr/++oqoUaqgEkcJ72x7B4Cn1tgp2nUazAbRD1+L280fg5sHJ7MLueeLLRTbHQxqHsl9vRr89nqbnXn/2cnR+NNYrGauurcVdVuduxxVRERERKSyKPeywJdeeomjR4/St29f3NxKX+5wOLjlllt0zZWUmX14Nkezj9Iwy4OGy3MBExF3jcH7lhcBKC5xcN9XWzmZU0TDcF/+Nea3BhYlxXbmTt3J8T3puFnNDBnfipgmwS48GxERERGRv1bucOXu7s6MGTN4+eWX2b59O15eXrRs2ZLY2NiKqE+qoCJ7Ee/teA+Ah5fmg2HCp0UMQQ++UPacF3/ezeZjGfh5uvHBLR3w/aWBha3Izpz34knan4Gbh4Wh41sR3Uj3TxMRERGRyq/c4epXDRs2pGHDhs6sRaqJb/Z/Q2peKi0zvQjdnw2YCHt6ctnM1IxNiXy5/pcGFte3od4vDSyKC0uY8248yQczsXpYGHp/a6LiAl13IiIiIiIi5VDua65Gjx7Nq6++es721157jWuvvdYpRUnVlWfL48P4DwF4YHEOGCZ829XHq017ALYfz+SZWaUNLB7u14g+TSIAKC4oYfZbO0g+mIm7p4WrH2yjYCUiIiIiVUq5w9XKlSsZMmTIOdsHDx7MypUrnVKUVF1f7PmCjKIMOqX7EHDQACDsqX8CcCqnqKyBxYBmEUzoHQdAUb6NH9/cTmpCFh7ebgx/uC2R9QNcdg4iIiIiIhej3MsCc3NzcXd3P2e71WolOzvbKUVJ1ZRZmMnnuz8H4N5FmYAJv86N8WzekuISB+O/2kpqdiENwnx4fUxrzGYThXk2fnpzO6cSc/DwcWP4g20Jq+Pn0vMQEREREbkY5Z65atmyJTNmzDhn+9dff02zZs2cUpRUTR/v+phcWy69zvjhk1B6fVXYk6WzVv+Ys4eNR9Px8yhtYOHnaaUgt5hZ/97GqcQcPH2tjHi4nYKViIiIiFRZ5Z65euaZZxg1ahSHDx+mT58+ACxZsoRp06bx3XffOb1AqRrS8tKYvm86AHfMPwOY8e/WEo/GTfh283E+X3cMgH9f14YGYb7kZxfz45RtpCfn4eXvzvCH2hAS5evCMxARERERuTTlDlfDhg1j1qxZvPLKK3z33Xd4eXnRunVrli5dSnCw7kVUU02Nn0qRvYirTgXgkXgGTBD61GQSz+Tz9KxdADzUryH9mkWQl1XEj//eRkZqPt4B7ox4uC1BkT4uPgMRERERkUtT7mWBAFdddRVr1qwhLy+PhIQExowZw6OPPkrr1q2dXZ9UAYnZicw8OBOAm+afBCCgVzs86jfghdm7KSpxcEWDEB7o05DcjCJmvVEarHyDPBg5sZ2ClYiIiIhUCxcVrqC0a+C4ceOIiori9ddfp0+fPqxfv96ZtUkV8c72d7Abdq5NC8RywgJmCH3iFRbvSWPJvpNYLSZeHN6CvMwiZr6xlcy0fHyDPRgxsR2BEd6uLl9ERERExCnKtSwwNTWVzz77jI8//pjs7GzGjBlDUVERs2bNUjOLGmp/+n7mHZkHwLXzUgE3Avt1wRFVm+ffWAHA37rXJ9xsYebrW8k5U4h/qCfDH26Lf4iXCysXEREREXGuC565GjZsGI0bNyY+Pp4pU6aQnJzM22+/XZG1SRXw1ra3ALg1OQhS3DBZIPTxl3lv+WFOZBQQFeDJuJbRZcEqIMyLkY+0U7ASERERkWrngmeu5s2bxwMPPMC9995Lw4YNK7ImqSK2ndzGyhMrsWBi6LxkHFgJHNyDJI9Apq6IB2BSv8YseCee3IwiAiO8GfFwW3wCPVxcuYiIiIiI813wzNXq1avJycmhffv2dO7cmXfeeYfTp09XZG1SiRmGwZQtUwC4+3ggjpNWTBYTwY++wPOzd1Nc4qB7w1C89+aQm1FEQJgXIyYqWImIiIhI9XXB4apLly58+OGHpKSkcPfdd/P1118TFRWFw+Fg0aJF5OTkVGSdUsmsSV7D1pNbcTe50XdeMgBBV/dj+RlYvv8UVouJCc1rs29tCpig77im+AQoWImIiIhI9VXuboE+Pj7cfvvtrF69mp07d/LII4/wz3/+k/DwcK6++uqKqFEqGYfh4K2tpddaPXDED/sZKyarCZ8HnuKF2XsAuLNrXQ78XHrj4JY9a1MrLtBV5YqIiIiIXBYX3YodoHHjxrz22mucOHGC6dOnO6smqeQWHlvI3vS9+Fg8uWJ+6axV8Kir+GBnJkmZpU0sOuVayD5diG+QB11G1HdxxSIiIiIiFe+SwtWvLBYLI0aM4KeffnLG7qQSK3GU8O62dwF45IAnJRlWzO5m8m5+iKkrEgB4rGM99qxIAqDXjU1w9yxXx38RERERkSrJKeFKao6fDv/E0eyjBLn50HZBCgBBY0bwwqokiu0OesaFUrD2FIYBjTpHENsixMUVi4iIiIhcHgpXcsGK7EW8t/09AP6+y4Ity4rZ08L2/reWNbEY6x9IenIeXn5WrrxWLftFREREpOZQuJILNmPfDNLy04i0BtF0SRoA/tdfywvLjgNwd5sYElaUXoPVfUwjvHzdXVariIiIiMjlpnAlFyTPlsdHOz8C4PHtNmzZVsxebsxoejVJmQXUDvCizuFCHHaDuq1CiesQ7uKKRUREREQuL4UruSD/3f1fMooyqOceRt2lpTePdhtzHe9tTAVgQp0ITh3NweppoecNjTCZTK4sV0RERETkslO4kr+UUZjB53s+B+DvG/Ow5bph8XHnlaAeFNsd9I8NIWvDKQCuGBWHb5CnK8sVEREREXEJhSv5Sx/v/Jg8Wx7NPaKIXJEOQMbV17LkaA7uZjP9ct0oKXYQ1TCQ5ldGubhaERERERHXULiSP5Wal8r0faU3iH5kzWlK8t2w+HnwhKUDAPfWjeD04WwsVjO9b2qCyazlgCIiIiJSM+nurvKnpu6YSrGjmI6esQSuPkAJFvb2GcmRXDsN/Lzw3ZdLMdBpaD0CI7xdXa6IiIhIjWEvKSEvI53s0yfJOX2K7NOnyDlT+tVkMtF19A1ExjVydZk1isKV/KFj2ceYdWgWAA8uS6KkwII5wItJpjYA3OLhT25+NmF1/GjTL8Z1hYqIiIhUM4ZhUJSfVxaazgpQp0+RfeYUeenpGIbjD/dxLH4bvW65k9YDhqjZ2GWicCV/6N1t72I37PT2aoDX+j3YsbC4wzDycWNEWBC5B7MxmU30vrkJZotWmIqIiIhcKHtJCbnpZ8qCUs7/BqgzpyguKPjL/Vjc3PALCcMvNAz/0NKvfiFhHNm2mUOb1rHkk/c5sW83A+6+H3dPr8twZpfOMAz2rV1JSVERLfsMcHU55aJwJee1L30f847OA+DehQnYCy0Q6M2/fdrhazLTItVOEdB2QB3CYvxcW6yIiIhIFWEvKWHOW69xcOM6MIy/fL6Xn/8vwSm8LDz99jUcb/8ATOZzP+Ru2WcAW+bMYtW0z9i/diWnjiYwbOIkQmNiK+K0nCYvM4PFH73LoU3rcXP3IKZ5KwIjIl1d1gVTuJLzemvrWwAM82qMZVM8dixMazqEErMbdwUEUXQ0n8AIbzpeVde1hYqIiIhUIeu+m87BDWuBX2adfg1LIeH/E5zC8AsJxepxcbe4MZlMdBg6klpxjfn5zVdJTz7BV09NpP/fxtOsRx9nnpJTGIbBvjUrWPrpfyjMzcFssdBp+DX4hYS6urRyUbiSc2xN28qqpFVYTBZun7sXW5GFkkAfpoV1pL2nF5aj+QD0vqkJblaLi6sVERERqRqS9u9l46xvARhy/6M0uaLHeWednCm6STNufvUt5r79L47Fb2Peu2+QtG8PvW+9Czd39wo99oX6/WwVQHjdBgy890HC69Z3cWXlp3AlZzEMgze3vgnANZ6NcWzdDpiZGjcYk8nCwHwrNmy06BFNVMNAV5YqIiIiUmUUF+Qz793XMQwHzbr3pumVvS7bsb39Axg16XnWfz+Ddd9PJ37JfFIPH2TYxEkuXXJnGAb7Vi8vna3Ky8VscaPL6OvoNPxaLG5VM6ZUzaqlwqxOWs3Wk1txN7tz40/xFBabKQj0ZV50J2709seWYsM3yIOuIxu4ulQRERGRKmPZ5x+SlZaKf1g4fW6/57If32y2cMW1Y4lq1IS5b/+Lk0cP8+UTDzLwvodo2LHrZa8nNyOdxR+9x+HNv81WDbrvIcJi6132WpxJLd6kjMNw8Na20mutbnZvRPGO0tae78QNJRorkak2AHqObYy7l3K5iIiIyIU4uGEtu5YtApOJwfdNxMPbx2W11G3djptffYuoRk0pys/jp3/9gxVffoK9pOSyHN8wDPasWsbnj9zH4c3rMVvc6DbmJsb+4/UqH6xAM1fyOwuPLmRf+j583LwZNXMreTYz2YF+rIhqx0OGDxg2GnaMoG7LqnVhoYiIiIir5Gaks/DDdwDoOGwUtZu1cHFF4BcSypjnJrNq2mdsmTOLzbN/IOXgPq568DH8givu97zS2ap3Obx5AwDh9Row6L6HCatTt8KOeblp5koAsDlsvLO99I3/N0sDCnaVbn+30XD6mX0wZ9vw9LXSfUxDF1YpIiIiUnUYhsHCqW9SmJNNWGw9rhhzk6tLKmNxc6PXLX/j6olP4u7lTdK+PXzx+IMci9/u9GOdPVu1oXS26rqbGfvy69UqWIFmruQXPx36iWPZxwjyCGTQ95vIKXHjTGAAu8Lb8LdsEwYG3cc0xMuvcnSVEREREansdiycy5HtW7BYrQy5/1HcrFZXl3SOhp2vIDS2LrPfmMypY0f47pVnuOLasXQZeZ1TOhnmpp9h0UfvkrBlI1A9Z6t+T+FKKLIX8f6O9wG4x16H3D0nAXinyUiuwwfD4SC2ZQgNO0a4skwRERGpAWxFheRlZJCbmU5eRgZ5menkZaSTm5FOXmYGeRnpYDLRfew46rft6Opy/1B68glWfPkJAN1vuLVS37w3KDKKG17+F8s+/Q87ly5k7Tdfkbx/L4MnPIK3f8BF7dMwDPauWsbSz/5DUV4eZosbV1w7lg7DRlXZToAXovqemVywr/d9TVp+GpFe4fT6ej1ZdnfSgoIoCW6Db64Dq6eFnjc0xmQyubpUERERqYIMw6C4IJ/c9PTfwtIvQenXwPTr98UF+Re0z59ef4WRjz9HbMs2FVv8RbCXlDD37dcpKS6iTss2tBs8zNUl/SWruwcD7n6A6CbNWfzRexzdsZUvnniQYQ89QVSjJuXaV276GRZ9+A4JWzcBEFE/jkH3PkRoNZ2t+j2FqxoutziXj3Z+BMD9RRFk708C4MMm19OryB0wuGJkA/yCL+7u4CIi4jyGo7SLa0XfdFTkYtlLbBzcuI7k/Xt/C0y/zECVFBdd8H7c3D3wCQrCJzAY38AgfIKC8fnlq29gEDsWz+fQpnXM+r+XuOapl4lu3LQCz6r81n8/nbSEg3j6+DLovoeq1Hu2ec++hNdrwOw3JpORksSM5x+n502303bw1X/5QbthGOxZuZRln39AUV4eFjc3ul4zlo5Xj8ZssVymM3AthasabtahWWQWZVLXtzYd/rueLLsHJ0JCqRvYHFOBQa24AJp3j3Z1mSIiNV5mWio/vfEKOadO0qLPANoMuIqAcC3Xlsoh62Qa8Uvms2vZIvKzMv/weR7ePmUh6fdhqfT7YHyCgvANCsbdy/tPf5Gv3bwVs157kWPx25j5z+cZ89xkwuvWr4AzK7+k/XvZMPNbAPrdOb5Cu+9VlLA6dblp8r9Z8J+3ObBuFcs+/5AT+3Yz8J6H8PD2Pu9rzp2tasigex+sEbNVv6dwVcP9ePhHAMZleZN9sLRZxXdN76BVgQmLm5neNzXBZNZyQBERVzq+O56f/v1PCnOyAdg8+we2/DyLBh06027wMGo3a6ml23LZORx2ju7Yyo6Fc0nYthkMAwDfoGAaX9Ed/7CI3wLTL1+tHs5ZCeNmtTL8kaf4fvKzJO3bw3f/eIbrnv8nIdExTtn/xSouyGfeu69jGA6adu9N467dXVrPpXD38mbog4+xvUkzlv/3Yw5uWMvpxKMMe3jSWfej0mzV2RSuarD96fvZl74PN5MbHWZupcDhyeGIejTzrAMl0HFoXYIiXXeTOxERge0L57Lss//gsNuJqN+QDkNHsHPZIhJ3bufQpnUc2rSOsDp1aTv4appc2ROru4erS3ap/KxMLFarS2/SWt3lZ2Wyc9ki4hfPJ/tUWtn2Oi3b0Kb/EOq373RZGhZYPT0Z+fhzfPPik5w8cpjvXn6a6194zaUzuss+/5CstFT8QsPoe/s9LqvDWUwmE20HDSOyQSNmT/knGSnJTHvqEfrccQ8tew8gJ/00iz98t2y2KrJBQwbe+1Clbt5R0RSuarBfZ62G5fpTcKgAgA1N7ySyBEJjfGnTv44ryxMRqdHsJSUs++wDdiyaC0CTbj0ZcM8DWN09aNKtJ2dOJLJt/mx2r1zKqcSjLPzPW6z86lNa9R1I6wFX4R8a5uIzuDwMwyA96TiHNq3n0KZ1pB4+iMVqpWWfgXS8enSN+XeoaIZhkLR/DzsWzuXghjXYS0oA8PTxpXmvfrTqN5jgqMt/GYGHtw+jn3yRb16YxJkTiXz78lNc//yr+AaHXPZaDm5ax65li8BkYvD4idUq4Ndq2Jib//km8959gyPbNrNw6lsc2rSepL27Kcovna26YsxNdBg6skbOVv2ewlUNZXPYmJMwB4Dh806A4U58/V5EEoDJbKLPzU2xWKrOxZciItVJfnYWP//7nxzfsxNMJq68/hY6Db/mrKV/IbXr0O9v47ny+nHsXLaQ7Qt+JvvUSTb++B2bZv9Aw05X0HbwMKIbN6t2SwYNh4OUQ/t/CVTryUhJOutxu83G9gU/E794Pi169aPTiGt1fdpFKsrPZ++qZexYNJfTx4+VbY+Ma0Tr/kNofEV3l8+WevsHcM1TL/H184+TlZbKd/94hjHPTb7oFuIXIy8zg0X/eRuADkNHEtOs5WU79uXi5efPyMeeZeOP37Fmxpdl962KjGvEoHsfIqS2PpQHhasaa03SGtIL02mc6Y73IRslFk+SY0fibkDb/jGE1fFzdYkiIjXS6cSjzPq/l8g6mYbV04urHniUBu07/+HzPX196ThsFO2vGs7hLRvZNvcnju/ZyYH1qzmwfjXhdRvQbsjVNO7aHTf3qnsj+BKbjeO74zm0cR2Ht2wgLzOj7DGLmxt1WrQmrlNXGrTvzJkTiaz//muO79lZ2mRh+SKadu9N55FjCIqMcuFZVB2njh1hx6K57Fm1HFth6eoWt19mTdsMGEJE/TjXFvg/fINDuPbpl/n6ucc5cyKRHyY/x7XP/OOyzB4ZhsGC96dQkJNNWGw9ul13c4Uf01VMZjOdR46hVsMmrPt+GvXbdqT9VSNq/GzV7ylc1VA/Hf4JgLHxdjBMxLe4AXfDjYBwLzpeVe8vXi0iIhXh0OYNzH37X9gKCwiIiGTE35+54GsXzGYLDTt2pWHHrpw6doRt82ezd9VyTh49zPz3/s2KLz+hdb9BtO4/xCVLpi5GUX4eR7Zt5tCm9RzZvpnigoKyx9y9vKnfriNxHbtQt3X7szqY+QQGUadFa07s3cX6H2ZwLH4bu5cvZs+KpTS5siedR45xeeODyqjEZuPg+tVsXzSP5P17yrYHR9Wm9YAhNOvRB08fXxdW+OcCwiO55umXmfHc46QlHGLmqy8w+skXndZE44/sWDSPI9u3YLFaGTLhEdys1go9XmVQp0Ur6rRo5eoyKiWFqxooszCT5ceXA9D0QC4Zgc3IDOoAQO+bmuDmrk8fREQuJ8Mw2DjrW1bP+AIMg5jmrRj28BN4+flf1P7CYusx4O4H6D72VuKXLGD7wjnknjnN+h9msPHH72jU5UraDhpW7huDXg65Gekc3ryBQ5vXk7hzBw57SdljPkHBxHXoTFyHLsS0aIXF7c9/ia3dtAXXPNWC5AP72DBzBglbN7F31TL2rl5Ooy5X0mXUdYTVsDbR55OZlkr84nnsWraIgl86UpotFuI6dqV1/yHENK863ShDomMY/dRLfPvikyTt28OP//oHIx57tsICT3ryCVZ88TEA3W+4tca1HZdzKVzVQPOOzsPmsNHWCMeefpJ97ccC0Lx7FNGNglxcnYhIzWIrLmLh1LfYt2YFAK0HXEXvcXc6pdual58/nUdcS8dhozi0aR1b580mad9u9q1Zwb41K4iMa0S7QcNo1PXKvwwqFSk9Oam08+Hm9aQc3F/W0hsgqFY0cZ1KZ+QiGzS8qJuxRjVqwsjHnyMt4RDrf/iaQ5vWc2DdKg6sW0Vcx650GX09EfUaOPOUKj2Hw86RbZvZsXAuR3Zs/a2NekgorfsOokWfAfgGBbu4yosTUa8BI594nu/+8TTH4rcx963/Y+hDjzt96Zq9pIS5b79OSXERdVq0pt3gYU7dv1RNClc10E+HSpcEjj5QQmp4Jwq8w/EKcKfrqMq1flpEpLrLOXOaH//1MmkJhzBbLPS57W5a9x/i9OOYLRYadbmSRl2uJC3hENvm/8y+NctJPXSAue+8zoovP6FVv8G07j8Yn8CK/5DNcDhISzjEoc3rObhxHelJx896vFZcYxp07EJcxy5OXb4XUT+O4Y8+zaljR1j/wwwObFhT1s6+fruOdBl1PbUaNnba8SoLwzDIz8okMzWFzLQU0pOOs3fNCnJOnyp7Tt3W7Wjdfwj123WsFtfPRDduyohHn2Hmq89zcONaFkx9k0H3PnRR4fyPrP/ha9ISDuLh48Og+x526r6l6lK4qmEOZx5m15lduJncaL4jhc2howBo1as2Hl76cRAR1zEcDkqKi7F6Vuz1EZVF8oF9/PT6P8jLzMDTz5+rJ066LB3GIurHMei+h+hxY+mSwR0L55Cbkc6676axcdY3NGjfGa8K7LJWUlzEsZ3byU0/U7bNbLEQ07wVcR270qBDJ/yCQyvs+FC6bHLYw09w5kQiG2Z+w741K0nYuomErZuIbdWWLqOvp3aT5hVag7M57HayT58iMy2FrLQUMtNSyUz97e+2osJzXuPp60eL3v1p1W9QtWz0EduqDUMfeoKf3niFPSuX4u7lRZ/b7nHKEsek/XvZ8MM3APT723j8Qir2Z1aqDv02XcP8em+rK4NaYEvZSkb70k/o6rXSfwoi4jrpyUnMefM1Th8/RtPuveh49ehq3XBgz8qlLPzgbew2G6ExsYx47BkCwiMvaw3eAYF0GXUdHa8ezcENa9g6fzYpB/ZxYMOay3J8q6cX9dq0J65jF+q17eCSRgkhtesw5P5H6XrNDWyY+S17Vi3lWPw2jsVvI6Z5K7qOvp7azSrP9Ua2okKy0lJLg1NaStlMVFZaKtmnT+Kw2//4xSYTfiGhBEbUIjAiktpNW9Coy5VVuoPkhYjr2IXB9z3M3HffYPuCObh7edP9hnGXtM/ignzmvfs6huGg6ZW9aHJFDydVK9WBwlUNUuIo4efDPwMwKglOeTXHYXHHw99KcFT1udGdiFQte1ctY9GH75Z9sr57+WJ2r1hCw45d6TT8GiLjGrm4QudxOOysmvY5m2f/AECDDl0YMmEi7l7ef/HKimNxc6NJt5406daT1EMHOBq/7c9/Sb9EJpOJiAZx1GneutL8Yh9UK5pB9z1El9HXs/HHb9m9fAnHd8dzfHc80U2a0WXU9cS2aluhIcswDGyFBRTkZJOXmUnWydSy4JT5y+xTXkb6n+7DYrUSEB5JYEQkgRG1CIioRWBk6d/9wyJqRBe782navTfFhYUs/uhdNs76FndPLzqPHHPR+1v2+UdkpaXiFxJGn9vvcWKlUh0oXNUg61PWc6rgFIEegcQt28OmkBEANGwbXmk+lRORmsNWVMjSTz9g17KFAMQ0a0nHq0cTv2Q+hzat5+DGtRzcuJY6LVrTafi11GnZukr/X1WUn8ect/6PI9s2A9B55HV0G3NjpbpOIzKuUbUKs+UVGBHJgLvup8uo69j44/fsWrqApH17+P6VZ6kV17h0uWCL1he0L1txEQXZ2RTk/O7P/3xfmJN11jZ7Sclf7tfDx+e34BQRSWBkrV9mo2rhGxRcqX6eKpPW/QdTXFjAyi8/YfXX/8Xdy4u2g8rfgOLgpnWl/2eZTAwe/3Clbk0vrqFwVYP8eKh0SeDg2r0oOTSdMw1bAFCvtZYEisjldfr4MX6e8ipnTiSCyUTX0TfQZfR1mM0W6rXtwJkTiWz66Xv2rl5O4q4dJO7aQUT9hnQacQ1xHbtgNletC+4zUpKY9dpLpCefwM3dg4H3PqilRJWYf2g4/e64ly4jx7Bp9g/EL5pHyqH9zHz1BcLq1ofwaHYuMVOcl3d2ePrlT352FiVFRRd1bDcPD7z8/AkIiyDglxmospmoyFp4+fo5+Wxrjo7DRlFcUMD676ez9NP/4O7lTfOefS/49XmZGSz6z9sAdBg6kpjmus+TnEvhqobILs5maeJSAIYX+XCyuAHFHgGY3CC6odqvi8jlYRgGu5cvZsknUykpLsInMIgh9//9nJtRhtSuw6D7HuaKa29k85yZ7FyykLSEg8x+YzJBtaLpePVomnbvXSWWOR2L387PU/5JYV4uviGhjHj0aSLqqztrVeAbHELvcXfSafg1bP55JjsWzuXU0QQ4msCyjav+8vVmixte/v54+f3Pn1+3+Qf8z2N+FX7D25ruimvHUlyQz9a5P7Lg/TexenrSqHO3v3ydYRgsmPomBTnZhMXWo9t1N1+GaqUqUriqIeYfmU+xo5i4wDjCl67maHBpR6qYZiFYrFpCICIVr7iwgMUfvcfeVcsAiG3VliETHsE7IPAPX+MfFk6fW++my6jr2Tb/Z7bPn01GShIL//MWa7/9ivZXjaBV34EuvWbpjxiGwbb5s1n+348wHA5qNWzM8EefviytzsW5fAKD6HnT7XS8ejSbf57FrnWrqRVTB5+AgLMDUlmQKt3m7uVVpZeyVkcmk4let/yN4oICdi1byJw3/w/rY57Ua9P+T18Xv3geR7ZtxmK1MmTCI1Xigx1xDYWrGuKnw6X3thpefxhFH7zC6ZBrAIhrE+7KskSkhjh5NIGfp7xKRkoSJrOZbmNuotPway74+hBv/wC6jbmRjsNGEr9kAVt+nklu+hlWfPExG36YQZtBQ2k7aBjeFdhCvDzsJTaWfvx+2fVkzXv2pd/fxleaBg5ycbz9A+h67VgyfAIZMmQIVv2CXSWZTCb63zWe4sICDqxbxU+vv8LoSS9Qu1mL8z4/PfkEy//7MQDdbxhHaJ26l7FaqWoUrmqAo1lH2XFqB2aTmSEeUaSdDiY3pg5gENsixNXliUg1ZhgG8Yvns+zzD7DbbPgGh3DVg49d9D2E3L286TB0JG0GDmXvqmVs+ul7MlKSWP/912yePZOWfQfQYehI/ENd98FRSWEBM195juQDezGZzPS46TbaXzVCMxgilYjZbGHIhImUFBWSsHUTM197gWufeYXIBg3Pep69pIS5b79OSXERdVq0pt3gq11UsVQVWg9WA/w6a9Utqhs+axeQ5lPa6cg/2gdvf32KKiIVoyg/n5/ffI3FH72L3WajfruO3PzqW065Oaub1UrLPgO49Y33GDZxEhH14ygpLmLbvNl8/MCdzHv3DU4fP+aEs7hwhmFw8mgCJ+bPIvnAXty9vBn5+LN0GDpSwUqkErK4WRn68BPENGtJcUEB37/yLKcTj571nE2zviEt4SAePj4Muu9hdWOUv6SZq2rO7rCXhaur464m88tJnA65DYCmHS7vDStFpOZISzjEz1NeJTMtBbPFQvcbxpXO3jj5FxOz2UKjzt1o2OkKEnfuYOOP35K4awd7Vi5lz8qlNOjQhU7DryGqUZOLPoZhGBTm5pCXkU5uZkbp14x08jLTycvIKPuam5le1iEuMLIWIx57tlrfCFmkOrC6ezDisWf47uVnSDm0n+/+8QzXvfAqviFhFJxKY9Pi0vuD9rvjPvxC1F1Z/prCVTW3MXUjaflp+Ln70TugKSeOFJDRuDEA9VrpPwkRca7SJg4/s/LLj7GXlOAfFs5VDzx2SeHmQphMJmJbtSG2VRtSDx1g40/fcXDjOg5vXs/hzeuJadaSTsOvIbZ1u7JZJIfDTn5WFnkZ6eRlZvxhYMrPzLig+w/9yju6DmOe/Qd+alwhUiW4e3kzctLzfPvCJE4lHuW7l5/m6kef5uS65RiGo+wm2yIXQuGqmvt11mpw3cFYdi8kyd4Kh9mK1dtEcJSPi6sTkeqkMDeXBVOncGjTegDiOnZh4D0P4el7eW+yGRnXiKsnPsmZpONsnv0De1Yu4/ienRzfs5Pg6Bjc3N3Jy8wgPzMTw3Bc8H49ff3wCQzCNzgEn8AgfIKC8f3l66/fe/j4sWjpUt1YVKSK8fL1Y/RTLzHj+cfJSElm2pMTcdhL8A0Jpe8d97q6PKlCFK6qsdziXBYfWwyULglMn/IEp0OuACCuQy1dAyAiTpN8YB9z3nqN7FMnsbi50eOmO2g7aKhL/58JiY5h4D0P0vWasWydO4v4xQtITzp+1nNMJjPeAQH4BAbjExSET2Awvr98/e37YLwDgy6o9bLNZquo0xGRCuYTGMQ1T7/M1889Ts7pUwAMuPtBfVgi5aJwVY0tOraIQnshdf3r0iqoKUk7DnAm/G4AGqoFu4g4geFwsHnOLFZP/xyH3U5ARCTDHnqiUt0k1z80jF633EnnkddxLH4bVk8vfIOC8QkKxts/ALPF4uoSRaSS8A8N59qnX2bxx1Mp8PD+w/bsIn9E4aoam3VoFgDD44ZD4npSs+pTXNsfk9lBVKNAl9YmIlVffnYWC96fQsLWTQA06tqdAXdNwMO7ci459vLz13UTIvKXgmpFM+LxZ5k7d66rS5EqSOGqmjqec5ytJ7diwsTQ+kPJ++YV0nzaABDeKAiLm1qJisjFO7F3F3Pe+j9y089gsVrpPe4uWvUbpOXGIiJSoylcVVOzD88GoEutLkT6RJK8YgWnQx8BoHnnKFeWJiJVmOFwsPHH71jzzZcYDgdBtaIZ+tDjhNet7+rSREREXE7hqhpyGI6yLoHD44ZD5nGyj1vJbVgbMKjbIsS1BYrUMLbiIhK2bibr4B4Kc7tjDQp2dUkXJS8zg3nvvsGx+G0ANO3em35/uw93Ty8XVyYiIlI5KFxVQ1vStpCUm4SP1Yc+dfpgX/c5J2gLgHeIG15+7i6uUKT6K8jNIWHLRg5tWs/R+K1lN5f9794dXHn9LbTsOxCzuWo0UnA47Oxatog1M74kPysTN3cP+t5+D8179dMyQBERkd+pFBfevPvuu9StWxdPT086d+7Mxo0b//C5NpuNF198kQYNGuDp6Unr1q2ZP3/+Je2zuvnx0I8ADKo7CC83L87Mn8np4FYANL0ixpWliVRr2adPsnXebL558Unev/NG5r/3bw5tWkdJURF+IWFY/QMozM1l8Ufv8eWkhzmxb7erS/5Libt28OXjD7Log3fIz8okpHYdbpr8b1r07q9gJSIi8j9cPnM1Y8YMJk6cyNSpU+ncuTNTpkxh4MCB7N+/n/Dwc9uFP/3003z55Zd8+OGHNGnShAULFjBy5EjWrl1L27ZtL2qf1Um+LZ+FxxYCcHWDq6GkiIKdR8mIbARAw7bV+/xFLifDMDh9/BiHNq3j0Kb1nDxy+KzHw+rUpUHHrsR17EJQdAxz58yhtruJ9d9P59TRBGY89zhNuvWkx0234Rcc6qKzOL+MlCRWfPkJhzdvAMDDx4euo8fSZuAQLG5/fb8nERGRmsjl4eqNN97gzjvv5LbbbgNg6tSpzJkzh08++YQnnnjinOd/8cUXPPXUUwwZMgSAe++9l8WLF/P666/z5ZdfXtQ+q5PFiYspKCkgxi+GtuFtMQ4v5UReSxxmKxZ3O8G1KmeLZJGqwuGwk3xgH4c2refwpvVkpqX89qDJRHTjZsR17EJcx64ERkSWPWSz2TCZzbQeMIRm3Xuz5usviF+6gH1rVnB48wY6j7qO9leNuKAb1Vakwtxc1v8wnW3z5+Cwl2Aym2kz4Cq6XnMDXn7+Lq1NRESksnNpuCouLmbLli1MmjSpbJvZbKZfv36sW7fuvK8pKirC09PzrG1eXl6sXr36kvZZ9Mv1EADZ2dlA6S9DNpvt4k7OSX49/oXWMevgLACG1h1KSUkJBcu/Jc23DQAxrcIoKSmpiDLlEpV3nOXyKiku5vjuHRzevJEj2zZS8Mv/EQAWq5U6LdpQv0Mn6rXpgHdAYNljvx/P34+x1cubXrfdTbNe/Vj+3w9JPbif1dM/Z+fShfS46Xbqte1w2c7tV/aSEnYtXciGH76mMDcHgLqt23Pl2HEER8eccz5yfnovV38a45pB41z9lWeMy/Nz4NJwdfr0aex2OxEREWdtj4iIYN++fed9zcCBA3njjTfo0aMHDRo0YMmSJfzwww/Y7faL3ufkyZN54YUXztm+cOFCvL29L+bUnG7RokV/+ZwMRwabsktv5ul91Ju5x+fSZtkKzoRMBiDXdIK5c49VaJ1yaS5knOXysBcXkZ90nNwTR8lPOY7xuw8mzFZ3fKLr4FO7Lt61amO2WjmWV8yxNWv/cr//O8Y+HboTEVqL09s3kpWWwuzX/4F3VAyh7brg7h/o7NM6r7zk45zeuh5bdiYA7gGBhLTtgltUDOt37IQdOy9LHdWJ3svVn8a4ZtA4V38XMsb5+fkXvD+XLwssrzfffJM777yTJk2aYDKZaNCgAbfddhuffPLJRe9z0qRJTJw4sez77OxsYmJiGDBgAP7+rl0GY7PZWLRoEf3798f6F8uFPtr1EcRDh4gO3Nj3Rsg4wp73a1Fc1x8TJQwf2183D66kyjPOUnFyzpwmYetGErZsJGnvLhy/fGgD4BMUQoMOnWjQvgtRTZphcSvff59/NcbFBQVs+vFbts2bTX7ycU6kpdB28DA6Dr8Wd6+KaXV+5kQiq776jJSdpa3VPX396HLNWFr07o/ZUjU6GVY2ei9XfxrjmkHjXP2VZ4yzf7di5a+4NFyFhoZisVhIS0s7a3taWhqRkZHnfU1YWBizZs2isLCQM2fOEBUVxRNPPEH9+vUvep8eHh54eHics91qtVaaN9Rf1WIYBj8f+RmAEXEjsFqtlOxdyAlzewACYzzx9Dr3HKVyqUw/czVJZmoKiz9+r+z+Tb8KqV2HuF8aUkTUj3NKd7w/GmOr1Uqvm++gVd9BLP/8A45s38KWn2eyb80Ketx4G02v7OW07nz52Vms/XYa8YvnYTgcmC1utB08jC6jrsPTx9cpx6jp9F6u/jTGNYPGufq7kDEuz8+AS8OVu7s77du3Z8mSJYwYMQIAh8PBkiVLmDBhwp++1tPTk+joaGw2G99//z1jxoy55H1WZdtPbScxJxEvNy/6x/YHIH3BTE4HjwOgde84V5YnUikZDgfbFvzMqmmfU1JcBCYTUQ2b/NKQogtBtaIve03BUdGMfOJ5ErZuYvnnH5KZlsK8d15nx8K59LntbiLqX/x72V5iY9v8n1n//dcU5ecBENexCz1uup2gyChnnYKIiEiN5fJlgRMnTmTcuHF06NCBTp06MWXKFPLy8so6/d1yyy1ER0czeXLpdUMbNmwgKSmJNm3akJSUxPPPP4/D4eCxxx674H1WR7/e26p/bH+8rd5QnE/23kxyI2qD4aB+q8rV5lnE1TJSk1nw/psk/XKvqZjmrRhw1/0ERtZycWWULnlu34nYlm3YMmcW62fOIPnAXr588mFa9RlIt+tvxts/4IL3ZxgGhzavZ+WXn5CZWtrdMKxufXrd/DfqtGhVUachIiJS47g8XF133XWcOnWKZ599ltTUVNq0acP8+fPLGlIkJiZiNv92nVBhYSFPP/00CQkJ+Pr6MmTIEL744gsCAwMveJ/VTWFJIQuOLgBKlwQCcHQ1iYXtAPD0KcHL191F1YlULobDwbb5s1k1/b+UFBdh9fCkx02307rfIEzmynVNopu7O51HjqFZjz6s/OpT9q1ZQfyS+exfv4puY26idf8hf3lt1MmjCSz/70cc3x0PgHdAIFdefwvNe/XFbNZ1VSIiIs7k8nAFMGHChD9csrd8+fKzvu/Zsyd79uy5pH1WN0sTl5JryyXKJ4r2EaXXWGWv/I4039JPpOO61nFleeJiuRnp7Fu9nDNJJ7B6eODm4YHV/X++enjg5v4/X//ncbPFzWnX/LhK6WzVFJL2lf4fUqdFKwbc/SAB4ZX7gxe/kFCueuDvtO4/mKWf/odTx46w9NP/EL9kAX1uvYuY5ufOPuVlZrD66y/YtXwRGAYWq5UOQ0fSafg1uHtVji6oIiIi1U2lCFdyaX48XLokcFiDYZhNZjAMsldtJCNoNAAtu8W6sjxxgZLiYg5v2cDu5Ys5umMbhuG45H2azOZzQ5inZ1kA8/TxpfEVPajftkOlmwEyHA62zpvN6q9/ma3y9KLnTbfRqt/gKhUYazdtwU3/nEL84gWsmfEFpxOP8s2LT9Koa3d63nQ7/qFhlBQXs2XOLDbM+hZbYQEAjbt2p/vYWyt9iBQREanqFK6quLS8NNanrAdgeIPhpRtPHyQpvT5GtBWLqYCgWvqUuiYwDIOUg/vYvWIJ+9etoigvr+yxWo2aULdVOwyHHVtRESXFRaVfi4qwFf/B16IibEWFGI7SYGY4HBQXFFBcUPCHNexdvZzgqNq0v2oETXv0xuru+g6VGSlJLJj65u9mq1oz4O4HqmzQMJsttBkwhMZdr2TNN18Rv2geB9atImHLRlr2HcDhzRvIPnUSgMi4RvS65U6iGzd1cdUiIiI1g8JVFTc7YTYOw0G78HbE+McAYNs9lyRL6fVW4Q39q9Qn81J+2adPsXfVMnavWEJGSlLZdr+QMJr16EOzHn0Ijrr4rnf2kpLzh7HfhTRbUSGnjx9j55IFpCefYNGH77B6xhe0GXAVbQZeVa7mC87icNjZNu/n/5mtup1W/QZVi/eEl58//e64l1Z9B7L00/+QtG832+bNBsA3OITuY2+labeelW4WUUREpDpTuKrCDMPgp8M/ATA8bnjZ9jMLZnE6+CEA2g1s5orSpILZCgs5uGkdu5cvJnF3PBgGAG4eHjTqdAXNe/UjpllLp/xibXFzw+Lmhoe3z18+94prbmDn0kVsnfcj2adOsu67aWz68Tua9ehD+6EjCI6qfcn1XIiMlCTmv/8myfurx2zVnwmvW5/rnv8n+9auZPv8n4lt1ZaOw0Zh9fR0dWkiIiI1jsJVFbbr9C6OZB3B0+LJgNgBpRuLcjlz0IQt1B+TUUxM4yDXFilOYzgcnNi3m90rlnBg/Zqy62kAYpq1pFnPvjTqfIVLmxW4e3nT/qrhtB00lAMb1rDl55mkHj5I/JL5xC+ZT/32negwdCS1m7aokNmj0tmq2aye/l9KbMXVbrbqj5hMJpp260nTbj1dXYqIiEiNpnBVhf3ayKJvbF983X1LNx5ZQWJJacdA3yAHFjctCboUmWmpbF/wM4c2r8fD24fAiFoERkQSGBlFYEQkARG18AsOqdClV5lpqexZuYTdK5aSfSqtbHtARCTNe/SlWY8+lW5Gxmyx0OSKHjTu2p2kvbvZPGcmh7dsJOGXPxH1G9Jh6AgadbnyL1uJX6j05CQWvD+F5AN7AajTsg0D734A/7Bwp+xfRERE5K8oXFVRRfYi5h2ZB8DVDa4u25616gfSfHsB0LxPQ1eUVuUZhkHirh1smz+bw1s2li25Azh55PA5z7dYrQSERRAYWYuAiMjSABZZi8CIWviHReBmtZa7hqL8fA6sX83uFUvKbnIL4O7lReOu3WnWsy/RjZtV+tkYk8lE7WYtqN2sBenJJ9gyZxZ7ViwlLeEgc976P1ZO+4z2Q4bTovcAPLwvbsbN4bCzde5PrPn6i7LZql4330HLvgMr/b+PiIiIVC8KV1XU8uPLyS7OJsI7gs6RnUs3Ggan1+whz/dGMBw0v6KuK0uscmxFhexdtZyt837izInEsu1127QvXVaGicy0FDLTUslKSyEzLYXsUyex22ykJ58gPfnEuTs1mfALCS2b8QqIqPW72a9aZ13HZDgcJO7czv41Kzi4cR0lxUVl+4ht2YbmPfsS17ELVo+qeS1NcFRt+t85gW7X3cyOhXPZtuBnck6fYvl/P2Ltt9No1W8QbQcNwz807IL3mZ58ggXvv1k2WxXbqi0D7rpfs1UiIiLiEgpXVdSvjSyGNRiGxfzLsqqTe0jKbgqe4OGWg6dv+WdMaqLsUyfZvnAOO5csoDAvFwCrhyfNe/Wl7aBhf9qEwWG3k3PmFJmpqWSmJZOZlkpmasov4SsVW1EhOadPkXP6FMd3x5/zei8/fwIjauEbEsrR+O0cLvitfXpwVG2a9+pH0+698AsOdf6Ju4i3fwBdr7mBDlePYu+qZWz5eRbpySfYPPsHts79kcZdu9N+6Egi6jX4w304HHa2zvmRNTO+pMRWjLuXFz1vvoOWfTRbJSIiIq6jcFUFnS44zZqkNcDZSwKLd84lyVragr12S31y/2cMw+DE3l1smzebQ5vWl91kNyAikrYDh9Gid78L6o5ntlgICI8kIDySWNqcc4z8rMyzZroy01LJTEshKy2V/KxMCnKyKcjJhkP7AfDw8aVJt54079mHyAaNqnVQsLp70KrvIFr2HsCR7VvYPPsHju/Zyd7Vy9m7ejkxzVvRYehI6rVpf9Y1benJJ5j//hRSDuwDfpmtuvt+/EP1My8iIiKupXBVBc1JmIPdsNMqrBX1AuqVbT+5eD4ZAY8B0HFYS1eVV6nZiovYt2YF2+bN5tSxI2Xb67RsQ7vBw6jXtgNms3MaLJhMJnwCg/AJDDrvTVyLC/LLwlZGagqHEk8w6o678LrIa4+qKpPZTP12HanfriNpCYfY/PNM9q9bxfHd8RzfHU9wdEzpTYm79WTHormarRIREZFKS+GqijEMg1mHZgEwvMFv97aiMIu0I/4YQVas9myCo/xcU2AllXPmNNsXziF+yQIKc7KB0ntCNe/RhzYDhxIaE3vZa3L38ia8bn3C69bHZrOROnfuRTW/qE4i6sdx1QN/p/vYcWydN5udS+aTnnScRR+8zdJP3sdeUgJotkpEREQqJ4WrKmZv+l4OZR7C3ezOwLoDf3vg8DKOO0qXBAbUsuiTfEqDaPL+vWydP5uDG9ZgOEqX/vmHhdNm4FBa9h6Ap6+vi6uU8/EPDafXzXfQdfT17FyygK3zZpNz5tQvs1V/o2WfAfoZFxERkUpH4aqK+fFQ6b2tetfpTYBHQNn2M6tncdJvJABthtTsJYElNhv7165k2/zZpCUcKtse06wlbQcPo0GHzk5b+icVy8Pbhw7DRtF28NUc3x1PaEwsvsEhri5LRERE5LwUrqoQm93G3CNzgf9ZEuhwkLY+BZuHH2Z7IXEd67ioQtfKTT/DjsXziF88n/ysTADcrO407d6LtoOGERZb7893IJWWxc2Nuq3buboMERERkT+lcFWFrExaSWZRJqFeoXSN6vrbA6nxnMhrDh7g7ZGDxWL+451UQ6eOHWHjj99xYP1qHHY7AL4hobQZcBUt+wzA2z/gL/YgIiIiInLpFK6qkF+XBA6rPww3829DV7R7LskebQGo1/GP78lU3RTk5rBmxpfEL5pX1ko9ukkz2g66moadumK2aOmfiIiIiFw+CldVREZhBqtOrALOvrcVQNLC1eT5PAqGnQ4j27uivMvK4bCzc8kCVn/9BYW5OQA06tyNTiOuJaJ+nIurExEREZGaSuGqiph3dB4lRgnNQ5oTF/S7AJGfTkpSBPiDV8kpvP09XVfkZXBi326WfvofTh1NACC0Tl363HoXMc1bubgyEREREanpFK6qiJ+P/AycO2tlHFrCcUpnq4Jjq+/NZ3PST7Pyy0/Zt2YFAB4+PnQbcxOt+w/R8j8RERERqRQUrqqAVHsq+3L24WZ2Y0i9IWc9dnLVHNJ9xwLQ6ZoOriivQpXYbGyZM4sNP8zAVlQIJhOt+g6k23U3q1GFiIiIiFQqCldVwLbibQD0qt2LQM/A3x5w2EnamodhdcOj+Ay1mka7psAKcnjLRpZ//iGZaSkARDVqSp/b7tZ1VSIiIiJSKSlcVXI2h43txduBc5cEkryNEwUtwQrevgWYTKbLX2AFSE9OYvl/P+TIts0A+AQF0+PG22h6Za9qc44iIiIiUv0oXFVy61LWkWfkEeQRxJW1rzzrsbz4OaR6tQGgUfeqP5tTXJDP+h9msGXOjzjsJZgtbrQfOoIuI8fg7lV9rycTERERkepB4aqS+zmhtJHF4LqDsZqtZz12bMlObNbuWEoKaDO8uyvKcwrDMNi7ejkrv/qUvIx0AOq1aU+vcXcRHFW9ljqKiIiISPWlcFXJtQ5rzY6kHVxd/3+WBOaeJOVkDPiAjyMFN3fr+XdQyaUlHGLpp/8h+cBeAAIja9F73F3Ub9fRxZWJiIiIiJSPwlUld2OTGwk8HEijoEZnbXccXMQJczsAwhoFuaK0S5KfncWar78gfukCMAysHp50HnUd7a8agZu1agZFEREREanZFK6qgPM1cUhcsYxcr7GYDDtdrr/CBVVdHIfdzvaFc1n77ZcU5eUB0KRbT3rceBt+IaEurk5ERERE5OIpXFVF9hKSdgFu4JN/nMC6/V1d0QU5vjuepZ99wOnEowCExdajz213U7tpC9cWJiIiIiLiBApXVdGJTSQVtwY38A12uLqav5R9+iQrvvyUA+tWAeDp68eV199My74DMZstLq5ORERERMQ5FK6qoIytCzjtWboUsEX/pi6u5o8ZhsHu5YtZ+tkH2AoLMJnMtOo/mG7X3YSXr5+ryxMRERERcSqFqyooYdUxDHMPvApO0mjQNa4u57wKcrJZ9ME7HNy4FoCoxs3oe/s9hNet7+LKREREREQqhsJVVZOdTEp6PfAEb9NJTG6VbwiP7tjK/PenkJeRjtniRrfrbqLDsJFaAigiIiIi1Vrl+81c/pRt30KS3VoDUKtlhIurOVtJcTGrpn3G1nk/ARAcVZsh9z9KRP04F1cmIiIiIlLxFK6qmEPLNmJzuwY3Wz6dru/p6nLKnDp2hDlv/R9nTiQC0HrAVfS86TasHp4urkxERERE5PJQuKpKSopJPugFbuCfdxiv6KGurgjD4WDL3B9ZPf1z7CUleAcEMvDeB6nftqOrSxMRERERuawUrqqS4+tJcrQBwK+W64cu58xp5r/3Bom74gGo374TA+9+AO+AQNcWJiIiIiLiAq7/DV0uWNL6peS498Bk2Gl9VRuX1rJ/3WoWf/gOhXm5uHl40PuWO2nZdyAmk8mldYmIiIiIuIrCVRVydMMZAPyzE6jd83aX1FCUn8/ST6eyZ+VSACLqN2TI/Y8SHBXtknpERERERCoLhauqIjOR5OyG4A4+1gxMVutlL+HEvt3Me+cNsk+lYTKZ6TzyWrqMvgFLJWwHLyIiIiJyuem34iqiYPcSTlmbAFC7Q8xlPba9pIR1301n46xvMQwH/mERDJnwCNFNml3WOkREREREKjOFqyri4Kp9GKY4vPNTaX1N78t23PTkJOa+/S/SEg4C0KxHH/rcdg8e3t6XrQYRERERkapA4aoKMDuKSU0MAgv45yfgHjW2wo9pGAY7lyxg2X8/pKSoCE8fX/rdOZ7GXbtX+LFFRERERKoihasqIDhnH7tpDYB/TMXPGOVnZbLgP2+RsGUjAHVatGbQfQ/jFxJa4ccWEREREamqFK6qAOPESWwWX9xsebS6rkOFHith2yYWvP8m+VmZWNzcuPKGcbQfMhyT2VyhxxURERERqeoUrqqA/OTS2aqgjL2EdXuoQo5hKypkxZefsmPhHABCatdhyP2PEl63foUcT0RERESkulG4quzSD5NW2ALcwMc7F7O7u9MPkZZwiLlv/4v05BMAtBt8Nd3H3opbBRxLRERERKS6Uriq5M5sXk62WyNMDjuxVzRw+v5TDx9k+jN/x2EvwScomEH3PkTd1u2cfhwRERERkepO4aqSO7T+ONCIgKxDNBw21On73zrvJxz2Euq0aMXQh57Ay8/f6ccQEREREakJ1KWgktuX8UuXwIIjeMQ49+bBRfl5HFy/BoArbxinYCUiIiIicgk0c1XJ+WXtJOKMjcAmzg8++9euosRWTEjtOkQ2aOT0/YuIiIiI1CSauarkujdwo17SfJoN7eb0fe9atgiAFr36YTKZnL5/EREREZGaRDNXlVzYU0+yqVVLGnXt4tT9njmRSMqh/ZgtFpp27+3UfYuIiIiI1ESauaoKLBZMbs7NwbuWLwagXtuO+AQGOXXfIiIiIiI1kcJVDWQvKWHPyqUAtOjd38XViIiIiIhUDwpXNdCR7VvIz8rEOyCQem3au7ocEREREZFqQeGqBvq1kUWzHn2wOHm5oYiIiIhITaVwVcPkZWaQsHUjUNolUEREREREnEPhqobZu2oZhsNBrbjGhNSu4+pyRERERESqDYWrGsQwjLIugWpkISIiIiLiXApXNUjq4QOcOZGIm7sHja/o7upyRERERESqFYWrGuTXRhYNO1+Bh7ePi6sREREREaleFK5qCFtRIfvWrASgRS8tCRQRERERcTaFqxri0MZ1FBfk4x8WQUyzFq4uR0RERESk2lG4qiF2LS9dEtiiVz9MZg27iIiIiIiz6bfsGiDrZBqJu+LBZKJ5z76uLkdEREREpFpSuKoBdq8obb9ep0Vr/MPCXVyNiIiIiEj1pHBVzRkOB7tXLAF0bysRERERkYqkcFXNJe6OJ/vUSTy8fYjr2MXV5YiIiIiIVFsKV9Xcr/e2atKtJ1Z3DxdXIyIiIiJSfSlcVWOFebkc2rgOKO0SKCIiIiIiFUfhqhrbv3YlJbZiQmNiiWjQ0NXliIiIiIhUawpX1diu5aVdAlv07o/JZHJxNSIiIiIi1ZvCVTV1OvEoqYcOYLZYaNq9t6vLERERERGp9hSuqqlfZ63qt+uEt3+Ai6sREREREan+FK6qIXtJCXtWLQOgRW81shARERERuRwUrqqhhG2bKMjOwicwiHptOri6HBERERGRGkHhqhra/cuSwKbde2O2WFxcjYiIiIhIzaBwVc3kZWaQsHUTAC169XdxNSIiIiIiNYfCVTWzZ9UyDIeDWo2aEFI7xtXliIiIiIjUGApX1YhhGOxatgiAFr3UyEJERERE5HJSuKpGUg7uJz3pOG7uHjTu2sPV5YiIiIiI1CgKV9XIr40sGnW+Ag9vbxdXIyIiIiJSsyhcVRO2okL2rV0BQIveamQhIiIiInK5KVxVEwc3rqO4oICAiEhqN23h6nJERERERGocl4erd999l7p16+Lp6Unnzp3ZuHHjnz5/ypQpNG7cGC8vL2JiYnj44YcpLCwse9xut/PMM89Qr149vLy8aNCgAS+99BKGYVT0qbjUr40smvfsi8ns8mEVEREREalx3Fx58BkzZjBx4kSmTp1K586dmTJlCgMHDmT//v2Eh4ef8/xp06bxxBNP8Mknn3DFFVdw4MABbr31VkwmE2+88QYAr776Ku+//z6ff/45zZs3Z/Pmzdx2220EBATwwAMPXO5TvCwy01I5vjseTCaa9+zr6nJERERERGokl4arN954gzvvvJPbbrsNgKlTpzJnzhw++eQTnnjiiXOev3btWrp168bYsWMBqFu3LjfccAMbNmw46znDhw/nqquuKnvO9OnT/3RGrKioiKKiorLvs7OzAbDZbNhstks/0Uvw6/H/rI6dyxYCENO8FV4BQS6vWcrvQsZZqjaNcc2gca7+NMY1g8a5+ivPGJfn58Bl4aq4uJgtW7YwadKksm1ms5l+/fqxbt26877miiuu4Msvv2Tjxo106tSJhIQE5s6dy80333zWcz744AMOHDhAo0aN2LFjB6tXry6b2TqfyZMn88ILL5yzfeHChXhXkq57ixYtOu92wzA4tmAuAMX+IcydO/dyliVO9kfjLNWHxrhm0DhXfxrjmkHjXP1dyBjn5+df8P5cFq5Onz6N3W4nIiLirO0RERHs27fvvK8ZO3Ysp0+f5sorr8QwDEpKSrjnnnt48skny57zxBNPkJ2dTZMmTbBYLNjtdv7xj39w4403/mEtkyZNYuLEiWXfZ2dnExMTw4ABA/D397/EM700NpuNRYsW0b9/f6xW6zmPJ+7aweH8XDy8fRj9t7txc3d3QZVyqf5qnKXq0xjXDBrn6k9jXDNonKu/8ozxr6vaLoRLlwWW1/Lly3nllVd477336Ny5M4cOHeLBBx/kpZde4plnngHgm2++4auvvmLatGk0b96c7du389BDDxEVFcW4cePOu18PDw88PDzO2W61WivNG+qPatm3ahkATa7shZePz+UuS5ysMv3MScXQGNcMGufqT2NcM2icq78LGePy/Ay4LFyFhoZisVhIS0s7a3taWhqRkZHnfc0zzzzDzTffzN/+9jcAWrZsSV5eHnfddRdPPfUUZrOZv//97zzxxBNcf/31Zc85duwYkydP/sNwVVUV5uZycONaAFrq3lYiIiIiIi7lsp7d7u7utG/fniVLlpRtczgcLFmyhK5du573Nfn5+Zj/p824xWIBKGu1/kfPcTgcziy/Uti3diV2m43QOnUJr9fA1eWIiIiIiNRoLl0WOHHiRMaNG0eHDh3o1KkTU6ZMIS8vr6x74C233EJ0dDSTJ08GYNiwYbzxxhu0bdu2bFngM888w7Bhw8pC1rBhw/jHP/5BnTp1aN68Odu2beONN97g9ttvd9l5VpRf723Vold/TCaTi6sREREREanZXBqurrvuOk6dOsWzzz5Lamoqbdq0Yf78+WVNLhITE8+ahXr66acxmUw8/fTTJCUlERYWVhamfvX222/zzDPPcN9993Hy5EmioqK4++67efbZZy/7+VWkU4lHSUs4iNlioWn3Xq4uR0RERESkxnN5Q4sJEyYwYcKE8z62fPnys753c3Pjueee47nnnvvD/fn5+TFlyhSmTJnixCorn93LS2etGrTvjLd/gIurERERERERl11zJRfPXmJjz6rlALRQIwsRERERkUpB4aoKSti6iYLsLHyCgqnbup2ryxERERERERSuqqRfG1k069EH8y+NPERERERExLUUrqqY3Ix0jmzfAkCLXv1cXI2IiIiIiPxK4aqK2bNyKYbDQVSjpgRH1XZ1OSIiIiIi8guFqyrEMAx2L18MqJGFiIiIiEhlo3BVhaQc3Ed68gncPDxo3PVKV5cjIiIiIiK/o3BVhfzayKJxlytx9/J2cTUiIiIiIvJ7CldVhK2wkP3rVgHQXI0sREREREQqHYWrKuLQpnUUFxQQGFGL2k1buLocERERERH5HwpXVcSelUsBaN6zLyaTycXViIiIiIjI/1K4qgJsOdkk7d0FJhPNevZ1dTkiIiIiInIeCldVQHbCAQDqtmqLf2iYi6sREREREZHzUbiq5BwOOzlHSsOVGlmIiIiIiFReCleV3PHdOynJz8PDx5e4Dl1cXY6IiIiIiPwBhatKbu+KJQA0vqI7bu7uLq5GRERERET+iMJVJRdSpy5u3r4066FGFiIiIiIilZmbqwuQP9fx6tGctHgSVre+q0sREREREZE/oZmrKsBkMuneViIiIiIilZzClYiIiIiIiBMoXImIiIiIiDiBwpWIiIiIiIgTKFyJiIiIiIg4gcKViIiIiIiIEyhciYiIiIiIOIHClYiIiIiIiBMoXImIiIiIiDiBwpWIiIiIiIgTKFyJiIiIiIg4gcKViIiIiIiIEyhciYiIiIiIOIHClYiIiIiIiBMoXImIiIiIiDiBwpWIiIiIiIgTKFyJiIiIiIg4gcKViIiIiIiIE7i5uoDKyDAMALKzs11cCdhsNvLz88nOzsZqtbq6HKkgGufqT2NcM2icqz+Ncc2gca7+yjPGv2aCXzPCn1G4Oo+cnBwAYmJiXFyJiIiIiIhUBjk5OQQEBPzpc0zGhUSwGsbhcJCcnIyfnx8mk8mltWRnZxMTE8Px48fx9/d3aS1ScTTO1Z/GuGbQOFd/GuOaQeNc/ZVnjA3DICcnh6ioKMzmP7+qSjNX52E2m6ldu7aryziLv7+/3tw1gMa5+tMY1wwa5+pPY1wzaJyrvwsd47+asfqVGlqIiIiIiIg4gcKViIiIiIiIEyhcVXIeHh4899xzeHh4uLoUqUAa5+pPY1wzaJyrP41xzaBxrv4qaozV0EJERERERMQJNHMlIiIiIiLiBApXIiIiIiIiTqBwJSIiIiIi4gQKVyIiIiIiIk6gcFXJvfvuu9StWxdPT086d+7Mxo0bXV2SONHzzz+PyWQ660+TJk1cXZZcgpUrVzJs2DCioqIwmUzMmjXrrMcNw+DZZ5+lVq1aeHl50a9fPw4ePOiaYuWi/dU433rrree8twcNGuSaYuWiTJ48mY4dO+Ln50d4eDgjRoxg//79Zz2nsLCQ8ePHExISgq+vL6NHjyYtLc1FFUt5XcgY9+rV65z38j333OOiiuVivP/++7Rq1arsZsFdu3Zl3rx5ZY87+32scFWJzZgxg4kTJ/Lcc8+xdetWWrduzcCBAzl58qSrSxMnat68OSkpKWV/Vq9e7eqS5BLk5eXRunVr3n333fM+/tprr/HWW28xdepUNmzYgI+PDwMHDqSwsPAyVyqX4q/GGWDQoEFnvbenT59+GSuUS7VixQrGjx/P+vXrWbRoETabjQEDBpCXl1f2nIcffpjZs2fz7bffsmLFCpKTkxk1apQLq5byuJAxBrjzzjvPei+/9tprLqpYLkbt2rX55z//yZYtW9i8eTN9+vRh+PDh7N69G6iA97EhlVanTp2M8ePHl31vt9uNqKgoY/LkyS6sSpzpueeeM1q3bu3qMqSCAMbMmTPLvnc4HEZkZKTxf//3f2XbMjMzDQ8PD2P69OkuqFCc4X/H2TAMY9y4ccbw4cNdUo9UjJMnTxqAsWLFCsMwSt+7VqvV+Pbbb8ues3fvXgMw1q1b56oy5RL87xgbhmH07NnTePDBB11XlFSIoKAg46OPPqqQ97Fmriqp4uJitmzZQr9+/cq2mc1m+vXrx7p161xYmTjbwYMHiYqKon79+tx4440kJia6uiSpIEeOHCE1NfWs93VAQACdO3fW+7oaWr58OeHh4TRu3Jh7772XM2fOuLokuQRZWVkABAcHA7BlyxZsNttZ7+cmTZpQp04dvZ+rqP8d41999dVXhIaG0qJFCyZNmkR+fr4ryhMnsNvtfP311+Tl5dG1a9cKeR+7OatYca7Tp09jt9uJiIg4a3tERAT79u1zUVXibJ07d+azzz6jcePGpKSk8MILL9C9e3d27dqFn5+fq8sTJ0tNTQU47/v618ekehg0aBCjRo2iXr16HD58mCeffJLBgwezbt06LBaLq8uTcnI4HDz00EN069aNFi1aAKXvZ3d3dwIDA896rt7PVdP5xhhg7NixxMbGEhUVRXx8PI8//jj79+/nhx9+cGG1Ul47d+6ka9euFBYW4uvry8yZM2nWrBnbt293+vtY4UrEhQYPHlz291atWtG5c2diY2P55ptvuOOOO1xYmYhciuuvv77s7y1btqRVq1Y0aNCA5cuX07dvXxdWJhdj/Pjx7Nq1S9fEVmN/NMZ33XVX2d9btmxJrVq16Nu3L4cPH6ZBgwaXu0y5SI0bN2b79u1kZWXx3XffMW7cOFasWFEhx9KywEoqNDQUi8VyTreStLQ0IiMjXVSVVLTAwEAaNWrEoUOHXF2KVIBf37t6X9c89evXJzQ0VO/tKmjChAn8/PPPLFu2jNq1a5dtj4yMpLi4mMzMzLOer/dz1fNHY3w+nTt3BtB7uYpxd3cnLi6O9u3bM3nyZFq3bs2bb75ZIe9jhatKyt3dnfbt27NkyZKybQ6HgyVLltC1a1cXViYVKTc3l8OHD1OrVi1XlyIVoF69ekRGRp71vs7OzmbDhg16X1dzJ06c4MyZM3pvVyGGYTBhwgRmzpzJ0qVLqVev3lmPt2/fHqvVetb7ef/+/SQmJur9XEX81Rifz/bt2wH0Xq7iHA4HRUVFFfI+1rLASmzixImMGzeODh060KlTJ6ZMmUJeXh633Xabq0sTJ3n00UcZNmwYsbGxJCcn89xzz2GxWLjhhhtcXZpcpNzc3LM+0Txy5Ajbt28nODiYOnXq8NBDD/Hyyy/TsGFD6tWrxzPPPENUVBQjRoxwXdFSbn82zsHBwbzwwguMHj2ayMhIDh8+zGOPPUZcXBwDBw50YdVSHuPHj2fatGn8+OOP+Pn5lV1/ERAQgJeXFwEBAdxxxx1MnDiR4OBg/P39uf/+++natStdunRxcfVyIf5qjA8fPsy0adMYMmQIISEhxMfH8/DDD9OjRw9atWrl4urlQk2aNInBgwdTp04dcnJymDZtGsuXL2fBggUV8z52TkNDqShvv/22UadOHcPd3d3o1KmTsX79eleXJE503XXXGbVq1TLc3d2N6Oho47rrrjMOHTrk6rLkEixbtswAzvkzbtw4wzBK27E/88wzRkREhOHh4WH07dvX2L9/v2uLlnL7s3HOz883BgwYYISFhRlWq9WIjY017rzzTiM1NdXVZUs5nG98AePTTz8te05BQYFx3333GUFBQYa3t7cxcuRIIyUlxXVFS7n81RgnJiYaPXr0MIKDgw0PDw8jLi7O+Pvf/25kZWW5tnApl9tvv92IjY013N3djbCwMKNv377GwoULyx539vvYZBiGcbFJUERERERERErpmisREREREREnULgSERERERFxAoUrERERERERJ1C4EhERERERcQKFKxERERERESdQuBIREREREXEChSsREREREREnULgSERERERFxAoUrERERJzCZTMyaNesPH9+zZw+1a9cmLy/v8hUlIiKXlcKViIhUebfeeismk+mcP4MGDXJ1aWWaNWtGly5deOONN1xdioiIVBCFKxERqRYGDRpESkrKWX+mT5/u6rLOctttt/H+++9TUlLi6lJERKQCKFyJiEi14OHhQWRk5Fl/goKCgNIle++//z6DBw/Gy8uL+vXr89133531+p07d9KnTx+8vLwICQnhrrvuIjc396znfPLJJzRv3hwPDw9q1arFhAkTznr89OnTjBw5Em9vbxo2bMhPP/101uP9+/cnPT2dFStWVMC/gIiIuJrClYiI1AjPPPMMo0ePZseOHdx4441cf/317N27F4C8vDwGDhxIUFAQmzZt4ttvv2Xx4sVnhaf333+f8ePHc9ddd7Fz505++ukn4uLizjrGCy+8wJgxY4iPj2fIkCHceOONpKenlz3u7u5OmzZtWLVq1eU5aRERuaxMhmEYri5CRETkUtx66618+eWXeHp6nrX9ySef5Mknn8RkMnHPPffw/vvvlz3WpUsX2rVrx3vvvceHH37I448/zvHjx/Hx8QFg7ty5DBs2jOTkZCIiIoiOjua2227j5ZdfPm8NJpOJp59+mpdeegkoDWy+vr7MmzfvrGu/Ro0aRUBAAJ9++qmz/xlERMTF3FxdgIiIiDP07t37rPAEEBwcXPb3rl27nvVY165d2b59OwB79+6ldevWZcEKoFu3bjgcDvbv34/JZCI5OZm+ffv+aQ2tWrUq+7uPjw/+/v6cPHnyrOd4eXmRn59frnMTEZGqQeFKRESqBR8fn3OW6TmLl5fXBT3ParWe9b3JZMLhcJy1LT09nQYNGjitNhERqTx0zZWIiNQI69evP+f7pk2bAtC0aVN27Nhx1j2o1qxZg9lspnHjxvj5+VG3bl2WLFlyyXXs2rWLtm3bXvJ+RESk8tHMlYiIVAtFRUWkpqaetc3NzY3Q0FAAvv32Wzp06MCVV17JV199xcaNG/n4448BuPHGG3nuuecYN24czz//PKdOneL+++/n5ptvJiIiAoDnn3+ee+65h/DwcAYPHkxOTg5r1qzh/vvvv+Aajx49SlJSEv369XPSWYuISGWicCUiItXC/PnzqVWr1lnbGjduzL59+4DSTn5ff/019913H7Vq1WL69Ok0a9YMAG9vbxYsWMCDDz5Ix44d8fb2ZvTo0Wfd8HfcuHEUFhby73//m0cffZTQ0FCuueaactU4ffp0BgwYQGxs7CWerYiIVEbqFigiItWeyWRi5syZjBgxwmU1FBcX07BhQ6ZNm0a3bt1cVoeIiFQcXXMlIiJyGSQmJvLkk08qWImIVGNaFigiInIZxMXFVVg3QxERqRwUrkREpNrTCngREbkctCxQRERERETECRSuREREREREnEDhSkRERERExAkUrkRERERERJxA4UpERERERMQJFK5EREREREScQOFKRERERETECRSuREREREREnOD/AU7De+UdBGB+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_compare(loss_history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-07-26T14:10:36.852968Z",
     "start_time": "2024-07-26T14:10:36.754492Z"
    }
   },
   "source": [
    "任务二：使用torch.nn实现L2正则化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [1/30], 模型: l2=0, 训练损失: 0.0035, 测试损失: 0.0026, 测试准确率: 0.9501\n",
      "Epoch [2/30], 模型: l2=0, 训练损失: 0.0023, 测试损失: 0.0026, 测试准确率: 0.9518\n",
      "Epoch [3/30], 模型: l2=0, 训练损失: 0.0021, 测试损失: 0.0023, 测试准确率: 0.9649\n",
      "Epoch [4/30], 模型: l2=0, 训练损失: 0.0019, 测试损失: 0.0025, 测试准确率: 0.9619\n",
      "Epoch [5/30], 模型: l2=0, 训练损失: 0.0017, 测试损失: 0.0028, 测试准确率: 0.9611\n",
      "Epoch [6/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0027, 测试准确率: 0.9684\n",
      "Epoch [7/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0032, 测试准确率: 0.9687\n",
      "Epoch [8/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0029, 测试准确率: 0.9700\n",
      "Epoch [9/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0033, 测试准确率: 0.9701\n",
      "Epoch [10/30], 模型: l2=0, 训练损失: 0.0017, 测试损失: 0.0035, 测试准确率: 0.9688\n",
      "Epoch [11/30], 模型: l2=0, 训练损失: 0.0015, 测试损失: 0.0046, 测试准确率: 0.9659\n",
      "Epoch [12/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0047, 测试准确率: 0.9657\n",
      "Epoch [13/30], 模型: l2=0, 训练损失: 0.0015, 测试损失: 0.0055, 测试准确率: 0.9684\n",
      "Epoch [14/30], 模型: l2=0, 训练损失: 0.0015, 测试损失: 0.0058, 测试准确率: 0.9696\n",
      "Epoch [15/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0062, 测试准确率: 0.9698\n",
      "Epoch [16/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0060, 测试准确率: 0.9683\n",
      "Epoch [17/30], 模型: l2=0, 训练损失: 0.0015, 测试损失: 0.0063, 测试准确率: 0.9675\n",
      "Epoch [18/30], 模型: l2=0, 训练损失: 0.0013, 测试损失: 0.0064, 测试准确率: 0.9710\n",
      "Epoch [19/30], 模型: l2=0, 训练损失: 0.0016, 测试损失: 0.0084, 测试准确率: 0.9666\n",
      "Epoch [20/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0092, 测试准确率: 0.9678\n",
      "Epoch [21/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0091, 测试准确率: 0.9686\n",
      "Epoch [22/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0097, 测试准确率: 0.9680\n",
      "Epoch [23/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0109, 测试准确率: 0.9697\n",
      "Epoch [24/30], 模型: l2=0, 训练损失: 0.0013, 测试损失: 0.0091, 测试准确率: 0.9711\n",
      "Epoch [25/30], 模型: l2=0, 训练损失: 0.0015, 测试损失: 0.0111, 测试准确率: 0.9693\n",
      "Epoch [26/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0105, 测试准确率: 0.9709\n",
      "Epoch [27/30], 模型: l2=0, 训练损失: 0.0013, 测试损失: 0.0111, 测试准确率: 0.9723\n",
      "Epoch [28/30], 模型: l2=0, 训练损失: 0.0014, 测试损失: 0.0125, 测试准确率: 0.9705\n",
      "Epoch [29/30], 模型: l2=0, 训练损失: 0.0013, 测试损失: 0.0106, 测试准确率: 0.9705\n",
      "Epoch [30/30], 模型: l2=0, 训练损失: 0.0013, 测试损失: 0.0114, 测试准确率: 0.9743\n",
      "Epoch [1/30], 模型: l2=1e-05, 训练损失: 0.0034, 测试损失: 0.0021, 测试准确率: 0.9607\n",
      "Epoch [2/30], 模型: l2=1e-05, 训练损失: 0.0023, 测试损失: 0.0022, 测试准确率: 0.9601\n",
      "Epoch [3/30], 模型: l2=1e-05, 训练损失: 0.0020, 测试损失: 0.0022, 测试准确率: 0.9605\n",
      "Epoch [4/30], 模型: l2=1e-05, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9683\n",
      "Epoch [5/30], 模型: l2=1e-05, 训练损失: 0.0017, 测试损失: 0.0021, 测试准确率: 0.9670\n",
      "Epoch [6/30], 模型: l2=1e-05, 训练损失: 0.0017, 测试损失: 0.0021, 测试准确率: 0.9658\n",
      "Epoch [7/30], 模型: l2=1e-05, 训练损失: 0.0017, 测试损失: 0.0021, 测试准确率: 0.9687\n",
      "Epoch [8/30], 模型: l2=1e-05, 训练损失: 0.0016, 测试损失: 0.0023, 测试准确率: 0.9635\n",
      "Epoch [9/30], 模型: l2=1e-05, 训练损失: 0.0016, 测试损失: 0.0023, 测试准确率: 0.9664\n",
      "Epoch [10/30], 模型: l2=1e-05, 训练损失: 0.0015, 测试损失: 0.0021, 测试准确率: 0.9656\n",
      "Epoch [11/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0022, 测试准确率: 0.9661\n",
      "Epoch [12/30], 模型: l2=1e-05, 训练损失: 0.0015, 测试损失: 0.0023, 测试准确率: 0.9658\n",
      "Epoch [13/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0023, 测试准确率: 0.9636\n",
      "Epoch [14/30], 模型: l2=1e-05, 训练损失: 0.0015, 测试损失: 0.0022, 测试准确率: 0.9679\n",
      "Epoch [15/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0022, 测试准确率: 0.9678\n",
      "Epoch [16/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0026, 测试准确率: 0.9632\n",
      "Epoch [17/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0027, 测试准确率: 0.9622\n",
      "Epoch [18/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0024, 测试准确率: 0.9657\n",
      "Epoch [19/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0022, 测试准确率: 0.9677\n",
      "Epoch [20/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0023, 测试准确率: 0.9668\n",
      "Epoch [21/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0024, 测试准确率: 0.9665\n",
      "Epoch [22/30], 模型: l2=1e-05, 训练损失: 0.0013, 测试损失: 0.0025, 测试准确率: 0.9633\n",
      "Epoch [23/30], 模型: l2=1e-05, 训练损失: 0.0013, 测试损失: 0.0024, 测试准确率: 0.9664\n",
      "Epoch [24/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0021, 测试准确率: 0.9673\n",
      "Epoch [25/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0022, 测试准确率: 0.9660\n",
      "Epoch [26/30], 模型: l2=1e-05, 训练损失: 0.0013, 测试损失: 0.0022, 测试准确率: 0.9699\n",
      "Epoch [27/30], 模型: l2=1e-05, 训练损失: 0.0014, 测试损失: 0.0022, 测试准确率: 0.9659\n",
      "Epoch [28/30], 模型: l2=1e-05, 训练损失: 0.0013, 测试损失: 0.0021, 测试准确率: 0.9690\n",
      "Epoch [29/30], 模型: l2=1e-05, 训练损失: 0.0012, 测试损失: 0.0021, 测试准确率: 0.9670\n",
      "Epoch [30/30], 模型: l2=1e-05, 训练损失: 0.0013, 测试损失: 0.0027, 测试准确率: 0.9574\n",
      "Epoch [1/30], 模型: l2=0.0001, 训练损失: 0.0035, 测试损失: 0.0021, 测试准确率: 0.9611\n",
      "Epoch [2/30], 模型: l2=0.0001, 训练损失: 0.0024, 测试损失: 0.0024, 测试准确率: 0.9536\n",
      "Epoch [3/30], 模型: l2=0.0001, 训练损失: 0.0021, 测试损失: 0.0020, 测试准确率: 0.9627\n",
      "Epoch [4/30], 模型: l2=0.0001, 训练损失: 0.0020, 测试损失: 0.0021, 测试准确率: 0.9626\n",
      "Epoch [5/30], 模型: l2=0.0001, 训练损失: 0.0020, 测试损失: 0.0022, 测试准确率: 0.9554\n",
      "Epoch [6/30], 模型: l2=0.0001, 训练损失: 0.0020, 测试损失: 0.0018, 测试准确率: 0.9666\n",
      "Epoch [7/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9597\n",
      "Epoch [8/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9627\n",
      "Epoch [9/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0024, 测试准确率: 0.9573\n",
      "Epoch [10/30], 模型: l2=0.0001, 训练损失: 0.0020, 测试损失: 0.0024, 测试准确率: 0.9543\n",
      "Epoch [11/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0019, 测试准确率: 0.9626\n",
      "Epoch [12/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0026, 测试准确率: 0.9524\n",
      "Epoch [13/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0019, 测试准确率: 0.9644\n",
      "Epoch [14/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0023, 测试准确率: 0.9568\n",
      "Epoch [15/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0018, 测试准确率: 0.9648\n",
      "Epoch [16/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0025, 测试准确率: 0.9530\n",
      "Epoch [17/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0018, 测试准确率: 0.9654\n",
      "Epoch [18/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9623\n",
      "Epoch [19/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0017, 测试准确率: 0.9678\n",
      "Epoch [20/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0028, 测试准确率: 0.9467\n",
      "Epoch [21/30], 模型: l2=0.0001, 训练损失: 0.0018, 测试损失: 0.0019, 测试准确率: 0.9656\n",
      "Epoch [22/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0033, 测试准确率: 0.9377\n",
      "Epoch [23/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0023, 测试准确率: 0.9584\n",
      "Epoch [24/30], 模型: l2=0.0001, 训练损失: 0.0018, 测试损失: 0.0022, 测试准确率: 0.9590\n",
      "Epoch [25/30], 模型: l2=0.0001, 训练损失: 0.0018, 测试损失: 0.0023, 测试准确率: 0.9572\n",
      "Epoch [26/30], 模型: l2=0.0001, 训练损失: 0.0018, 测试损失: 0.0023, 测试准确率: 0.9553\n",
      "Epoch [27/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0023, 测试准确率: 0.9535\n",
      "Epoch [28/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0022, 测试准确率: 0.9577\n",
      "Epoch [29/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0022, 测试准确率: 0.9550\n",
      "Epoch [30/30], 模型: l2=0.0001, 训练损失: 0.0019, 测试损失: 0.0020, 测试准确率: 0.9613\n",
      "Epoch [1/30], 模型: l2=0.001, 训练损失: 0.0042, 测试损失: 0.0033, 测试准确率: 0.9330\n",
      "Epoch [2/30], 模型: l2=0.001, 训练损失: 0.0031, 测试损失: 0.0030, 测试准确率: 0.9422\n",
      "Epoch [3/30], 模型: l2=0.001, 训练损失: 0.0029, 测试损失: 0.0032, 测试准确率: 0.9370\n",
      "Epoch [4/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0025, 测试准确率: 0.9506\n",
      "Epoch [5/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9473\n",
      "Epoch [6/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0025, 测试准确率: 0.9494\n",
      "Epoch [7/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0021, 测试准确率: 0.9623\n",
      "Epoch [8/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0026, 测试准确率: 0.9487\n",
      "Epoch [9/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0026, 测试准确率: 0.9490\n",
      "Epoch [10/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0023, 测试准确率: 0.9545\n",
      "Epoch [11/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0031, 测试准确率: 0.9381\n",
      "Epoch [12/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0025, 测试准确率: 0.9491\n",
      "Epoch [13/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0023, 测试准确率: 0.9538\n",
      "Epoch [14/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0023, 测试准确率: 0.9524\n",
      "Epoch [15/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0029, 测试准确率: 0.9434\n",
      "Epoch [16/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0025, 测试准确率: 0.9486\n",
      "Epoch [17/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9446\n",
      "Epoch [18/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9495\n",
      "Epoch [19/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0029, 测试准确率: 0.9463\n",
      "Epoch [20/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0028, 测试准确率: 0.9438\n",
      "Epoch [21/30], 模型: l2=0.001, 训练损失: 0.0029, 测试损失: 0.0023, 测试准确率: 0.9561\n",
      "Epoch [22/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0029, 测试准确率: 0.9442\n",
      "Epoch [23/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9481\n",
      "Epoch [24/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0045, 测试准确率: 0.9114\n",
      "Epoch [25/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0025, 测试准确率: 0.9529\n",
      "Epoch [26/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0027, 测试准确率: 0.9479\n",
      "Epoch [27/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0024, 测试准确率: 0.9518\n",
      "Epoch [28/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0032, 测试准确率: 0.9358\n",
      "Epoch [29/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0026, 测试准确率: 0.9491\n",
      "Epoch [30/30], 模型: l2=0.001, 训练损失: 0.0028, 测试损失: 0.0026, 测试准确率: 0.9492\n",
      "Epoch [1/30], 模型: l2=0.01, 训练损失: 0.0066, 测试损失: 0.0051, 测试准确率: 0.9055\n",
      "Epoch [2/30], 模型: l2=0.01, 训练损失: 0.0056, 测试损失: 0.0047, 测试准确率: 0.9175\n",
      "Epoch [3/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0050, 测试准确率: 0.9099\n",
      "Epoch [4/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0053, 测试准确率: 0.9028\n",
      "Epoch [5/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0052, 测试准确率: 0.9099\n",
      "Epoch [6/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0052, 测试准确率: 0.9022\n",
      "Epoch [7/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0051, 测试准确率: 0.9061\n",
      "Epoch [8/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0054, 测试准确率: 0.8989\n",
      "Epoch [9/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0049, 测试准确率: 0.9132\n",
      "Epoch [10/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0060, 测试准确率: 0.8902\n",
      "Epoch [11/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0051, 测试准确率: 0.9103\n",
      "Epoch [12/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0051, 测试准确率: 0.9059\n",
      "Epoch [13/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0052, 测试准确率: 0.9051\n",
      "Epoch [14/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0053, 测试准确率: 0.9070\n",
      "Epoch [15/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0048, 测试准确率: 0.9201\n",
      "Epoch [16/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0056, 测试准确率: 0.8946\n",
      "Epoch [17/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0049, 测试准确率: 0.9121\n",
      "Epoch [18/30], 模型: l2=0.01, 训练损失: 0.0054, 测试损失: 0.0048, 测试准确率: 0.9137\n",
      "Epoch [19/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0050, 测试准确率: 0.9167\n",
      "Epoch [20/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0051, 测试准确率: 0.9088\n",
      "Epoch [21/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0052, 测试准确率: 0.9080\n",
      "Epoch [22/30], 模型: l2=0.01, 训练损失: 0.0054, 测试损失: 0.0050, 测试准确率: 0.9083\n",
      "Epoch [23/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0056, 测试准确率: 0.8939\n",
      "Epoch [24/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0061, 测试准确率: 0.8879\n",
      "Epoch [25/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0053, 测试准确率: 0.9028\n",
      "Epoch [26/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0059, 测试准确率: 0.8857\n",
      "Epoch [27/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0048, 测试准确率: 0.9126\n",
      "Epoch [28/30], 模型: l2=0.01, 训练损失: 0.0054, 测试损失: 0.0064, 测试准确率: 0.8821\n",
      "Epoch [29/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0050, 测试准确率: 0.9110\n",
      "Epoch [30/30], 模型: l2=0.01, 训练损失: 0.0055, 测试损失: 0.0050, 测试准确率: 0.9149\n",
      "Epoch [1/30], 模型: l2=0.1, 训练损失: 0.0154, 测试损失: 0.0167, 测试准确率: 0.6994\n",
      "Epoch [2/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0155, 测试准确率: 0.7181\n",
      "Epoch [3/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0150, 测试准确率: 0.7510\n",
      "Epoch [4/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0156, 测试准确率: 0.7400\n",
      "Epoch [5/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0146, 测试准确率: 0.7754\n",
      "Epoch [6/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0144, 测试准确率: 0.7998\n",
      "Epoch [7/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0144, 测试准确率: 0.7510\n",
      "Epoch [8/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0148, 测试准确率: 0.7644\n",
      "Epoch [9/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0145, 测试准确率: 0.7887\n",
      "Epoch [10/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0147, 测试准确率: 0.7566\n",
      "Epoch [11/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0142, 测试准确率: 0.7893\n",
      "Epoch [12/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0157, 测试准确率: 0.7386\n",
      "Epoch [13/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0148, 测试准确率: 0.7793\n",
      "Epoch [14/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0149, 测试准确率: 0.7670\n",
      "Epoch [15/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0149, 测试准确率: 0.7756\n",
      "Epoch [16/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0155, 测试准确率: 0.7162\n",
      "Epoch [17/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0147, 测试准确率: 0.7763\n",
      "Epoch [18/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0151, 测试准确率: 0.7862\n",
      "Epoch [19/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0151, 测试准确率: 0.7882\n",
      "Epoch [20/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0155, 测试准确率: 0.7246\n",
      "Epoch [21/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0150, 测试准确率: 0.7555\n",
      "Epoch [22/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0142, 测试准确率: 0.7669\n",
      "Epoch [23/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0153, 测试准确率: 0.7005\n",
      "Epoch [24/30], 模型: l2=0.1, 训练损失: 0.0149, 测试损失: 0.0155, 测试准确率: 0.7127\n",
      "Epoch [25/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0147, 测试准确率: 0.7683\n",
      "Epoch [26/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0146, 测试准确率: 0.7868\n",
      "Epoch [27/30], 模型: l2=0.1, 训练损失: 0.0151, 测试损失: 0.0146, 测试准确率: 0.7427\n",
      "Epoch [28/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0150, 测试准确率: 0.7732\n",
      "Epoch [29/30], 模型: l2=0.1, 训练损失: 0.0149, 测试损失: 0.0151, 测试准确率: 0.7644\n",
      "Epoch [30/30], 模型: l2=0.1, 训练损失: 0.0150, 测试损失: 0.0146, 测试准确率: 0.7921\n"
     ]
    }
   ],
   "source": [
    "nets = {}\n",
    "for l2_lambda in l2_lambdas:\n",
    "    nets[f\"l2={l2_lambda}\"] = (torch.nn.Sequential(\n",
    "        nn.Flatten(),\n",
    "        nn.Linear(784, 256),\n",
    "        nn.ReLU(),\n",
    "        nn.Dropout(l2_lambda),\n",
    "        nn.Linear(256, 10),\n",
    "    ).to(device), l2_lambda)\n",
    "\n",
    "loss_function = nn.CrossEntropyLoss()\n",
    "\n",
    "loss_history = {\n",
    "    \"Train Loss\": {},\n",
    "    \"Test Loss\": {},\n",
    "    \"Test Acc\": {},\n",
    "}\n",
    "num_epoch = 30\n",
    "\n",
    "for net_name in nets:\n",
    "    loss_history[\"Train Loss\"][net_name] = []\n",
    "    loss_history[\"Test Loss\"][net_name] = []\n",
    "    loss_history[\"Test Acc\"][net_name] = []\n",
    "    for epoch in range(30):\n",
    "        net, l2_lambda = nets[net_name]\n",
    "        optimizer = torch.optim.Adam(net.parameters(), lr=0.01,weight_decay=l2_lambda)\n",
    "        train_loss_epoch, item_cnt =0, 0\n",
    "        for x, y in train_iter:\n",
    "            x, y = x.to(device), y.to(device)\n",
    "\n",
    "            pred = net(x)\n",
    "            los = loss_function(pred, y)\n",
    "            los.backward()\n",
    "            optimizer.step()\n",
    "            optimizer.zero_grad()\n",
    "            train_loss_epoch += los.item()\n",
    "            item_cnt += y.shape[0]\n",
    "            \n",
    "        train_loss_epoch /= item_cnt\n",
    "        loss_history[\"Train Loss\"][net_name].append(train_loss_epoch)\n",
    "        with torch.no_grad():\n",
    "            test_loss_epoch, test_acc_epoch , item_cnt = 0, 0, 0\n",
    "            for x, y in test_iter:\n",
    "                x, y = x.to(device), y.to(device)\n",
    "                pred = net(x)\n",
    "                los = loss_function(pred, y)\n",
    "                test_loss_epoch += los.item()\n",
    "                test_acc_epoch += (pred.argmax(dim=1).long() == y.long()).sum().item()\n",
    "                item_cnt += y.shape[0]\n",
    "                \n",
    "        test_loss_epoch /= item_cnt\n",
    "        loss_history[\"Test Loss\"][net_name].append(test_loss_epoch)\n",
    "        test_acc_epoch /= item_cnt\n",
    "        loss_history[\"Test Acc\"][net_name].append(test_acc_epoch)\n",
    "        print(\n",
    "            f\"Epoch [{epoch + 1}/{num_epoch}], 模型: {net_name}, 训练损失: {train_loss_epoch:.4f}, 测试损失: {test_loss_epoch:.4f}, 测试准确率: {test_acc_epoch:.4f}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_compare(loss_history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "实验结果分析：从损失值曲线可以看出，当正则化系数（lambda）为0，即没有加入L2正则化项时，模型出现过拟合现象，此时训练集的损失逐渐下降，但测试集的损失上升。随着正则化系数增加，L2正则化项的影响逐渐显现，模型在训练集上和测试集的损失略有增加，这是由于L2正则化项对权重参数进行了约束，防止模型过拟合，从而在一定程度上降低了训练集上的拟合能力。需要注意的是，在实际应用中，需要根据具体问题和数据集的特点选择合适的正则化系数，以获得更好的模型泛化能力。"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dl",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
